{"product_id":"artificial-intelligence-in-medicine-20th-international-conference-on-artificial-intelligence-in-medicine-aime-2022-halifax-ns-canada-june-14-17-lecture-notes-in-artificial-intelligence-1st-ed-2022-edition","title":"Artificial Intelligence in Medicine: 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Halifax, NS, Canada, June 14–17, ... (Lecture Notes in Artificial Intelligence) 1st ed. 2022 Edition","description":"\u003cdiv data-cel-widget=\"bookDescription_feature_div\" data-csa-c-id=\"7y9w7h-rgk3d4-2xixgp-6jetc1\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-asin=\"0993745598\" data-csa-c-slot-id=\"bookDescription_feature_div\" data-csa-c-content-id=\"bookDescription\" data-csa-c-type=\"widget\" data-feature-name=\"bookDescription\" class=\"celwidget\" id=\"bookDescription_feature_div\"\u003e\n\u003cdiv class=\"a-expander-collapsed-height a-row a-expander-container a-spacing-base a-expander-partial-collapse-container\" data-a-expander-collapsed-height=\"280\" data-a-expander-name=\"book_description_expander\"\u003e\n\u003cdiv class=\"a-expander-content a-expander-partial-collapse-content\" aria-expanded=\"false\"\u003e\n\u003cdiv id=\"bookDescription_feature_div\" class=\"celwidget\" data-feature-name=\"bookDescription\" data-csa-c-type=\"widget\" data-csa-c-content-id=\"bookDescription\" data-csa-c-slot-id=\"bookDescription_feature_div\" data-csa-c-asin=\"1975136373\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-id=\"3xu427-hdulpm-xey1d9-kajk0v\" data-cel-widget=\"bookDescription_feature_div\"\u003e\n\u003cdiv data-a-expander-name=\"book_description_expander\" data-a-expander-collapsed-height=\"280\" class=\"a-expander-collapsed-height a-row a-expander-container a-spacing-base a-expander-partial-collapse-container\"\u003e\n\u003cdiv aria-expanded=\"false\" class=\"a-expander-content a-expander-partial-collapse-content\"\u003e\n\u003cdiv id=\"bookDescription_feature_div\" class=\"celwidget\" data-feature-name=\"bookDescription\" data-csa-c-type=\"widget\" data-csa-c-content-id=\"bookDescription\" data-csa-c-slot-id=\"bookDescription_feature_div\" data-csa-c-asin=\"3031783212\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-id=\"fcrmv0-5d2i6h-7rlxmn-tieqc\" data-cel-widget=\"bookDescription_feature_div\"\u003e\n\u003cdiv data-a-expander-name=\"book_description_expander\" data-a-expander-collapsed-height=\"280\" class=\"a-expander-collapsed-height a-row a-expander-container a-spacing-base a-expander-partial-collapse-container\"\u003e\n\u003cdiv data-expanded=\"false\" class=\"a-expander-content a-expander-partial-collapse-content\"\u003e\n\u003cdiv data-cel-widget=\"bookDescription_feature_div\" data-csa-c-id=\"fp884q-ajyjgl-oloyur-e2b1bd\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-asin=\"B0DLLHMC3L\" data-csa-c-slot-id=\"bookDescription_feature_div\" data-csa-c-content-id=\"bookDescription\" data-csa-c-type=\"widget\" data-feature-name=\"bookDescription\" class=\"celwidget\" id=\"bookDescription_feature_div\"\u003e\n\u003cdiv class=\"a-expander-collapsed-height a-row a-expander-container a-spacing-base a-expander-partial-collapse-container\" data-a-expander-collapsed-height=\"280\" data-a-expander-name=\"book_description_expander\"\u003e\n\u003cdiv class=\"a-expander-content a-expander-partial-collapse-content\" data-expanded=\"false\"\u003e\n\u003cdiv data-cel-widget=\"bookDescription_feature_div\" data-csa-c-id=\"xuilf-kf8jxd-gl0izj-j8ubn3\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-asin=\"\" data-csa-c-slot-id=\"bookDescription_feature_div\" data-csa-c-content-id=\"bookDescription\" data-csa-c-type=\"widget\" data-feature-name=\"bookDescription\" class=\"celwidget\" id=\"bookDescription_feature_div\"\u003e\n\u003cdiv class=\"a-expander-collapsed-height a-row a-expander-container a-spacing-base a-expander-partial-collapse-container\" data-a-expander-collapsed-height=\"280\" data-a-expander-name=\"book_description_expander\"\u003e\n\u003cdiv class=\"a-expander-content a-expander-partial-collapse-content\" data-expanded=\"false\"\u003e\n\u003cp\u003e\u003c!--StartFragment --\u003e\u003c\/p\u003e\n\u003cdiv id=\"bookDescription_feature_div\" class=\"celwidget\" data-feature-name=\"bookDescription\" data-csa-c-type=\"widget\" data-csa-c-content-id=\"bookDescription\" data-csa-c-slot-id=\"bookDescription_feature_div\" data-csa-c-asin=\"\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-id=\"jcyb4c-xh16e5-g3rxm8-7b27gv\" data-cel-widget=\"bookDescription_feature_div\"\u003e\n\u003cdiv data-a-expander-name=\"book_description_expander\" data-a-expander-collapsed-height=\"280\" class=\"a-expander-collapsed-height a-row a-expander-container a-spacing-base a-expander-partial-collapse-container\"\u003e\n\u003cdiv data-expanded=\"false\" class=\"a-expander-content a-expander-partial-collapse-content\"\u003e\n\u003cdiv data-cel-widget=\"bookDescription_feature_div\" data-csa-c-id=\"29gs8q-nkwmn0-jkthhp-dkje0\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-asin=\"1032421282\" data-csa-c-slot-id=\"bookDescription_feature_div\" data-csa-c-content-id=\"bookDescription\" data-csa-c-type=\"widget\" data-feature-name=\"bookDescription\" class=\"celwidget\" id=\"bookDescription_feature_div\"\u003e\n\u003cdiv class=\"a-expander-collapsed-height a-row a-expander-container a-spacing-base a-expander-partial-collapse-container\" data-a-expander-collapsed-height=\"280\" data-a-expander-name=\"book_description_expander\"\u003e\n\u003cdiv class=\"a-expander-content a-expander-partial-collapse-content\" data-expanded=\"false\"\u003e\n\u003cp\u003e\u003c!--StartFragment --\u003e\u003c\/p\u003e\n\u003cdiv id=\"bookDescription_feature_div\" class=\"celwidget\" data-feature-name=\"bookDescription\" data-csa-c-type=\"widget\" data-csa-c-content-id=\"bookDescription\" data-csa-c-slot-id=\"bookDescription_feature_div\" data-csa-c-asin=\"1032008431\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-id=\"b6wwvw-bz3rmm-3urw9p-3pgp5l\" data-cel-widget=\"bookDescription_feature_div\"\u003e\n\u003cdiv data-a-expander-name=\"book_description_expander\" data-a-expander-collapsed-height=\"280\" class=\"a-expander-collapsed-height a-row a-expander-container a-spacing-base a-expander-partial-collapse-container\"\u003e\n\u003cdiv data-expanded=\"false\" class=\"a-expander-content a-expander-partial-collapse-content\"\u003e\n\u003cdiv data-cel-widget=\"bookDescription_feature_div\" data-csa-c-id=\"vveok4-6789v-a28uab-7odkn\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-asin=\"1032260157\" data-csa-c-slot-id=\"bookDescription_feature_div\" data-csa-c-content-id=\"bookDescription\" data-csa-c-type=\"widget\" data-feature-name=\"bookDescription\" class=\"celwidget\" id=\"bookDescription_feature_div\"\u003e\n\u003cdiv class=\"a-expander-collapsed-height a-row a-expander-container a-spacing-base a-expander-partial-collapse-container\" data-a-expander-collapsed-height=\"280\" data-a-expander-name=\"book_description_expander\"\u003e\n\u003cdiv class=\"a-expander-content a-expander-partial-collapse-content\" data-expanded=\"false\"\u003e\n\u003cp\u003e\u003cspan class=\"a-text-italic\"\u003e\u003c!--StartFragment --\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cdiv data-cel-widget=\"bookDescription_feature_div\" data-csa-c-id=\"4n3dc7-pgrjua-owk3bw-n89vol\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-asin=\"0190908327\" data-csa-c-slot-id=\"bookDescription_feature_div\" data-csa-c-content-id=\"bookDescription\" data-csa-c-type=\"widget\" data-feature-name=\"bookDescription\" class=\"celwidget\" id=\"bookDescription_feature_div\"\u003e\n\u003cdiv class=\"a-expander-collapsed-height a-row a-expander-container a-spacing-base a-expander-partial-collapse-container\" data-a-expander-collapsed-height=\"280\" data-a-expander-name=\"book_description_expander\"\u003e\n\u003cdiv class=\"a-expander-content a-expander-partial-collapse-content\" data-expanded=\"false\"\u003e\n\u003cdiv id=\"bookDescription_feature_div\" class=\"celwidget\" data-feature-name=\"bookDescription\" data-csa-c-type=\"widget\" data-csa-c-content-id=\"bookDescription\" data-csa-c-slot-id=\"bookDescription_feature_div\" data-csa-c-asin=\"\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-id=\"uxpum0-xj1s1w-iclems-at1f49\" data-cel-widget=\"bookDescription_feature_div\"\u003e\n\u003cdiv data-a-expander-name=\"book_description_expander\" data-a-expander-collapsed-height=\"280\" class=\"a-expander-collapsed-height a-row a-expander-container a-spacing-base a-expander-partial-collapse-container\"\u003e\n\u003cdiv data-expanded=\"false\" class=\"a-expander-content a-expander-partial-collapse-content\"\u003e\n\u003c!--StartFragment --\u003e\n\u003cdiv id=\"bookDescription_feature_div\" class=\"celwidget\" data-feature-name=\"bookDescription\" data-csa-c-type=\"widget\" data-csa-c-content-id=\"bookDescription\" data-csa-c-slot-id=\"bookDescription_feature_div\" data-csa-c-asin=\"\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-id=\"6gahqp-flj7xl-gugx7r-lnvbfa\" data-cel-widget=\"bookDescription_feature_div\"\u003e\n\u003cdiv data-a-expander-name=\"book_description_expander\" data-a-expander-collapsed-height=\"280\" class=\"a-expander-collapsed-height a-row a-expander-container a-spacing-base a-expander-partial-collapse-container\"\u003e\n\u003cdiv data-expanded=\"false\" class=\"a-expander-content a-expander-partial-collapse-content\"\u003e\n\u003cp\u003e\u003c!--StartFragment --\u003e\u003c\/p\u003e\n\u003cdiv data-expanded=\"true\" class=\"a-expander-content a-expander-partial-collapse-content a-expander-content-expanded\"\u003e\n\u003cdiv id=\"bookDescription_feature_div\" class=\"celwidget\" data-feature-name=\"bookDescription\" data-csa-c-type=\"widget\" data-csa-c-content-id=\"bookDescription\" data-csa-c-slot-id=\"bookDescription_feature_div\" data-csa-c-asin=\"9819984408\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-id=\"3id2jy-cym4a2-bxve36-6avmxn\" data-cel-widget=\"bookDescription_feature_div\"\u003e\n\u003cdiv data-a-expander-name=\"book_description_expander\" data-a-expander-collapsed-height=\"280\" class=\"a-expander-collapsed-height a-row a-expander-container a-spacing-base a-expander-partial-collapse-container\"\u003e\n\u003cdiv data-expanded=\"false\" class=\"a-expander-content a-expander-partial-collapse-content\"\u003e\n\u003cdiv data-cel-widget=\"bookDescription_feature_div\" data-csa-c-id=\"txcuh-puuq32-c3xxig-qfp1sj\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-asin=\"9811284563\" data-csa-c-slot-id=\"bookDescription_feature_div\" data-csa-c-content-id=\"bookDescription\" data-csa-c-type=\"widget\" data-feature-name=\"bookDescription\" class=\"celwidget\" id=\"bookDescription_feature_div\"\u003e\n\u003cdiv class=\"a-expander-collapsed-height a-row a-expander-container a-spacing-base a-expander-partial-collapse-container\" data-a-expander-collapsed-height=\"280\" data-a-expander-name=\"book_description_expander\"\u003e\n\u003cdiv class=\"a-expander-content a-expander-partial-collapse-content\" data-expanded=\"false\"\u003e\n\u003cdiv data-cel-widget=\"bookDescription_feature_div\" data-csa-c-id=\"e5lepz-l35fpq-6r3ivs-dxm2tq\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-asin=\"9819959241\" data-csa-c-slot-id=\"bookDescription_feature_div\" data-csa-c-content-id=\"bookDescription\" data-csa-c-type=\"widget\" data-feature-name=\"bookDescription\" class=\"celwidget\" id=\"bookDescription_feature_div\"\u003e\n\u003cdiv class=\"a-expander-collapsed-height a-row a-expander-container a-spacing-base a-expander-partial-collapse-container\" data-a-expander-collapsed-height=\"280\" data-a-expander-name=\"book_description_expander\"\u003e\n\u003cdiv class=\"a-expander-content a-expander-partial-collapse-content\" data-expanded=\"false\"\u003e\n\u003cdiv data-cel-widget=\"bookDescription_feature_div\" data-csa-c-id=\"k8ycuv-p75ti2-vlqtvt-53m6j3\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-asin=\"9814968781\" data-csa-c-slot-id=\"bookDescription_feature_div\" data-csa-c-content-id=\"bookDescription\" data-csa-c-type=\"widget\" data-feature-name=\"bookDescription\" class=\"celwidget\" id=\"bookDescription_feature_div\"\u003e\n\u003cdiv class=\"a-expander-collapsed-height a-row a-expander-container a-spacing-base a-expander-partial-collapse-container\" data-a-expander-collapsed-height=\"280\" data-a-expander-name=\"book_description_expander\"\u003e\n\u003cdiv class=\"a-expander-content a-expander-partial-collapse-content\" data-expanded=\"false\"\u003e\n\u003cp\u003e\u003c!--StartFragment --\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c!--StartFragment --\u003e\u003c\/p\u003e\n\u003cdiv data-cel-widget=\"bookDescription_feature_div\" data-csa-c-id=\"llby3t-ifhn3l-7pwpg9-89ehkm\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-asin=\"3031093410\" data-csa-c-slot-id=\"bookDescription_feature_div\" data-csa-c-content-id=\"bookDescription\" data-csa-c-type=\"widget\" data-feature-name=\"bookDescription\" class=\"celwidget\" id=\"bookDescription_feature_div\"\u003e\n\u003cdiv class=\"a-expander-collapsed-height a-row a-expander-container a-spacing-base a-expander-partial-collapse-container\" data-a-expander-collapsed-height=\"280\" data-a-expander-name=\"book_description_expander\"\u003e\n\u003cdiv class=\"a-expander-content a-expander-partial-collapse-content\" data-expanded=\"false\"\u003e\n\u003cp\u003e\u003cspan\u003eThe 39 full papers presented together with 7 short papers were selected from 113 submissions. The papers are grouped in topical sections on knowledge-based system; machine learning; medical image processing; predictive modeling; natural language processing.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-cel-widget=\"globalStoreInfoBullets_feature_div\" data-csa-c-id=\"2qhuqq-afnjj0-8hxdi4-e1uqr0\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-asin=\"3031093410\" data-csa-c-slot-id=\"globalStoreInfoBullets_feature_div\" data-csa-c-content-id=\"globalStoreInfoBullets\" data-csa-c-type=\"widget\" data-feature-name=\"globalStoreInfoBullets\" class=\"celwidget\" id=\"globalStoreInfoBullets_feature_div\"\u003e\u003c\/div\u003e\n\u003cdiv data-cel-widget=\"buyingOptionNostosBadge_feature_div\" data-csa-c-id=\"tz6hz3-za5d8k-c7a74g-u5fdrm\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-asin=\"3031093410\" data-csa-c-slot-id=\"buyingOptionNostosBadge_feature_div\" data-csa-c-content-id=\"buyingOptionNostosBadge\" data-csa-c-type=\"widget\" data-feature-name=\"buyingOptionNostosBadge\" class=\"celwidget\" id=\"buyingOptionNostosBadge_feature_div\"\u003e\u003c\/div\u003e\n\u003cdiv data-cel-widget=\"tellAmazon_feature_div\" data-csa-c-id=\"judlhf-z6tqqz-uy1h77-ficvqs\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-asin=\"3031093410\" data-csa-c-slot-id=\"tellAmazon_feature_div\" data-csa-c-content-id=\"tellAmazon\" data-csa-c-type=\"widget\" data-feature-name=\"tellAmazon\" class=\"celwidget\" id=\"tellAmazon_feature_div\"\u003e\n\u003cdiv data-cel-widget=\"tell-amazon-desktop_DetailPage_2\" data-csa-c-id=\"feyoyp-z8w64g-hswvmb-861g78\" data-csa-c-painter=\"tell-amazon-desktop-cards\" data-csa-c-type=\"widget\" data-csa-c-slot-id=\"DsUnknown-3\" data-csa-c-content-id=\"DsUnknown\" data-csa-op-log-render=\"\" class=\"celwidget c-f\"\u003e\n\u003cdiv data-mix-claimed=\"true\" data-acp-tracking=\"{}\" data-card-metrics-id=\"tell-amazon-desktop_DetailPage_2\" id=\"CardInstancePcvLvMSJ9AZObW4FzssGqg\"\u003e\n\u003cdiv class=\"_tell-amazon-desktop_style_tell_amazon_div__1YDZk\" data-logged-in=\"false\" data-marketplace=\"ATVPDKIKX0DER\" data-asin=\"3031093410\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-cel-widget=\"tellAmazon_feature_div\" data-csa-c-id=\"2bd2vq-vlhxgo-q6w767-tnod4m\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-asin=\"9814968781\" data-csa-c-slot-id=\"tellAmazon_feature_div\" data-csa-c-content-id=\"tellAmazon\" data-csa-c-type=\"widget\" data-feature-name=\"tellAmazon\" class=\"celwidget\" id=\"tellAmazon_feature_div\"\u003e\n\u003cdiv data-cel-widget=\"tell-amazon-desktop_DetailPage_3\" data-csa-c-id=\"w8jvcw-jb637a-hmo7vp-1mx1c2\" data-csa-c-painter=\"tell-amazon-desktop-cards\" data-csa-c-type=\"widget\" data-csa-c-slot-id=\"DsUnknown-4\" data-csa-c-content-id=\"DsUnknown\" data-csa-op-log-render=\"\" class=\"celwidget c-f\"\u003e\n\u003cdiv data-mix-claimed=\"true\" data-acp-tracking=\"{}\" data-card-metrics-id=\"tell-amazon-desktop_DetailPage_3\" id=\"CardInstanceT2EA935vDHeNK_Ok7ot5tw\"\u003e\n\u003cdiv class=\"_tell-amazon-desktop_style_tell_amazon_div__1YDZk\" data-logged-in=\"false\" data-marketplace=\"ATVPDKIKX0DER\" data-asin=\"9814968781\"\u003e\u003c!--EndFragment --\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"hushpuppyUpsell_feature_div\" class=\"celwidget\" data-feature-name=\"hushpuppyUpsell\" data-csa-c-type=\"widget\" data-csa-c-content-id=\"hushpuppyUpsell\" data-csa-c-slot-id=\"hushpuppyUpsell_feature_div\" data-csa-c-asin=\"\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-id=\"7fc7ey-yuaqyt-sz60bi-1a8204\" data-cel-widget=\"hushpuppyUpsell_feature_div\"\u003e\u003c\/div\u003e\n\u003cdiv id=\"richProductInformation_feature_div\" class=\"celwidget\" data-feature-name=\"richProductInformation\" data-csa-c-type=\"widget\" data-csa-c-content-id=\"richProductInformation\" data-csa-c-slot-id=\"richProductInformation_feature_div\" data-csa-c-asin=\"\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-id=\"h8g2n0-oll6f9-h2coty-xmqdop\" data-cel-widget=\"richProductInformation_feature_div\"\u003e\n\u003cdiv id=\"rich_product_information\" class=\"a-section a-spacing-none celwidget\" data-csa-c-id=\"d95eei-7fw90a-qygwx6-8cghxn\" data-cel-widget=\"rich_product_information\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp\u003e \u003c!--StartFragment --\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf0\"\u003eTable of contents (46 papers)\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf0\"\u003eFront Matter\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages i-xx\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eKnowledge-Based Systems\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf0\"\u003eFront Matter\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 1-1\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eDownload chapter PDF \u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eExplainable Decision Support Using Task Network Models in Notation3: Computerizing Lipid Management Clinical Guidelines as Interactive Task Networks\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eWilliam Van Woensel, Samina Abidi, Karthik Tennankore, George Worthen, Syed Sibte Raza Abidi\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 3-13\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eTowards an AI Planning-Based Pipeline for the Management of Multimorbid Patients\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eMalvika Rao, Martin Michalowski, Szymon Wilk, Wojtek Michalowski, Amanda Coles, Marc Carrier\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 14-23\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eA Knowledge Graph Completion Method Applied to Literature-Based Discovery for Predicting Missing Links Targeting Cancer Drug Repurposing\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eAli Daowd, Samina Abidi, Syed Sibte Raza Abidi\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 24-34\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eAn Ontology to Support Automatic Drug Dose Titration\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eDavid Riaño, José-Ramon Alonso, Špela Pečnik, Aida Kamišalić\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 35-46\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eOntological Representation of Causal Relations for a Deep Understanding of Associations Between Variables in Epidemiology\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eThibaut Pressat Laffouilhère, Julien Grosjean, Jean Pinson, Stéfan J. Darmoni, Emilie Leveque, Emilie Lanoy et al.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 47-56\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eExplainable Clinical Decision Support: Towards Patient-Facing Explanations for Education and Long-Term Behavior Change\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eWilliam Van Woensel, Floriano Scioscia, Giuseppe Loseto, Oshani Seneviratne, Evan Patton, Samina Abidi et al.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 57-62\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eMachine Learning\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf0\"\u003eFront Matter\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 63-63\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eDownload chapter PDF \u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eAssessing Knee Osteoarthritis Severity and Biomechanical Changes After Total Knee Arthroplasty Using Self-organizing Maps\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eKathryn Young-Shand, Patrice Roy, Michael Dunbar, Syed Sibte Raza Abidi, Janie Wilson\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 65-75\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eNeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eAleksandr Nesterov, Bulat Ibragimov, Dmitriy Umerenkov, Artem Shelmanov, Galina Zubkova, Vladimir Kokh\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 76-87\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eExtracting Surrogate Decision Trees from Black-Box Models to Explain the Temporal Importance of Clinical Features in Predicting Kidney Graft Survival\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eJaber Rad, Karthik K. Tennankore, Amanda Vinson, Syed Sibte Raza Abidi\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 88-98\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eRecurrence and Self-attention vs the Transformer for Time-Series Classification: A Comparative Study\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eAlexander Katrompas, Theodoros Ntakouris, Vangelis Metsis\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 99-109\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eIntegrating Graph Convolutional Networks (GCNNs) and Long Short-Term Memory (LSTM) for Efficient Diagnosis of Autism\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eKashaf Masood, Rasha Kashef\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 110-121\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eHierarchical Deep Multi-task Learning for Classification of Patient Diagnoses\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eSalim Malakouti, Milos Hauskrecht\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 122-132\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eTTS-GAN: A Transformer-Based Time-Series Generative Adversarial Network\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eXiaomin Li, Vangelis Metsis, Huangyingrui Wang, Anne Hee Hiong Ngu\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 133-143\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eInstrumented Timed Up and Go Test Using Inertial Sensors from Consumer Wearable Devices\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eMiguel Matey-Sanz, Alberto González-Pérez, Sven Casteleyn, Carlos Granell\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 144-154\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eLearning to Adapt Dynamic Clinical Event Sequences with Residual Mixture of Experts\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eJeong Min Lee, Milos Hauskrecht\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 155-166\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eImproving Prediction Models’ Propriety in Intensive-Care Unit, by Enforcing an Advance Notice Period\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eTomer Hermelin, Pierre Singer, Nadav Rappoport\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 167-177\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eDP-CTGAN: Differentially Private Medical Data Generation Using CTGANs\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eMei Ling Fang, Devendra Singh Dhami, Kristian Kersting\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 178-188\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003e\u003c!--StartFragment --\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf0\"\u003eMachine Learning\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eEpidRLearn: Learning Intervention Strategies for Epidemics with Reinforcement Learning\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eMaria Bampa, Tobias Fasth, Sindri Magnusson, Panagiotis Papapetrou\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 189-199\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eDiscovering Instantaneous Granger Causalities in Non-stationary Categorical Time Series Data\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eNoor Jamaludeen, Vishnu Unnikrishnan, André Brechmann, Myra Spiliopoulou\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 200-209\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eComparison of Classification with Reject Option Approaches on MIMIC-IV Dataset\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eGerta Salillari, Nadav Rappoport\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 210-219\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePredicting Waiting Time and Quality of Kidney Offers for Kidney Transplant Candidates\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eJonathan Jalbert, Héloïse Cardinal, Andrea Lodi, Jean-Noël Weller, Hugo-Maxime Tocco\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 220-229\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eWrist Ultrasound Segmentation by Deep Learning\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eYuyue Zhou, Abhilash Rakkunedeth, Christopher Keen, Jessica Knight, Jacob L. Jaremko\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 230-237\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eEarly Detection and Classification of Patient-Ventilator Asynchrony Using Machine Learning\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eErdi Gao, Goce Ristanoski, Uwe Aickelin, David Berlowitz, Mark Howard\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 238-248\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eOn Graph Construction for Classification of Clinical Trials Protocols Using Graph Neural Networks\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eSohrab Ferdowsi, Jenny Copara, Racha Gouareb, Nikolay Borissov, Fernando Jaume-Santero, Poorya Amini et al.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 249-259\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eMedical Image Processing\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf0\"\u003eFront Matter\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 261-261\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eDownload chapter PDF \u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eMalignant Mesothelioma Subtyping of Tissue Images via Sampling Driven Multiple Instance Prediction\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eMark Eastwood, Silviu Tudor Marc, Xiaohong Gao, Heba Sailem, Judith Offman, Emmanouil Karteris et al.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 263-272\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eCalibrating Histopathology Image Classifiers Using Label Smoothing\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eJerry Wei, Lorenzo Torresani, Jason Wei, Saeed Hassanpour\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 273-282\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eInvUNET: Involuted UNET for Breast Tumor Segmentation from Ultrasound\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eTrupti Chavan, Kalpesh Prajapati, Kameshwar Rao JV\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 283-290\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eMRI Reconstruction with LassoNet and Compressed Sensing\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eAndrea De Gobbis, Aleksander Sadikov, Vida Groznik\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 291-295\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePredictive Modeling\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf0\"\u003eFront Matter\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 297-297\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eDownload chapter PDF \u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eA 3-Window Framework for the Discovery and Interpretation of Predictive Temporal Functional Dependencies\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eBeatrice Amico, Carlo Combi\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 299-309\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eWhen Can I Expect the mHealth User to Return? Prediction Meets Time Series with Gaps\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eMiro Schleicher, Rüdiger Pryss, Winfried Schlee, Myra Spiliopoulou\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 310-320\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eThe Transition Law of Sepsis Patients’ Illness States Based on Complex Network\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eRuolin Wang, Jingming Liu, Zheng Chen, Minghui Gong, Chunping Li, Wei Guo\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 321-331\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eLearning a Battery of COVID-19 Mortality Prediction Models by Multi-objective Optimization\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eMario Martínez-García, Susana García-Gutierrez, Rubén Armañanzas, Adrián Díaz, Iñaki Inza, Jose A. Lozano\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 332-342\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eOblique Dipolar Tree for Survival Data with Time-Varying Covariates\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eMalgorzata Kretowska\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 343-352\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eAn Anytime Querying Algorithm for Predicting Cardiac Arrest in Children: Work-in-Progress\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eMichael A. Skinner, Priscilla Yu, Lakshmi Raman, Sriraam Natarajan\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 353-357\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eA Novel Survival Analysis Approach to Predict the Need for Intubation in Intensive Care Units\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eMichela Venturini, Ingrid Van Keilegom, Wouter De Corte, Celine Vens\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 358-364\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003e\u003c!--EndFragment --\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003c!--StartFragment --\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf0\"\u003ePredictive Modeling\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eAwareness of Being Tested and Its Effect on Reading Behaviour\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eMarta Malavolta, Emiliano Trimarco, Vida Groznik, Aleksander Sadikov\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 365-370\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eNatural Language Processing\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf0\"\u003eFront Matter\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 371-371\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eDownload chapter PDF \u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eGenerating Extremely Short Summaries from the Scientific Literature to Support Decisions in Primary Healthcare: A Human Evaluation Study\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePrimoz Kocbek, Lucija Gosak, Kasandra Musović, Gregor Stiglic\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 373-382\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eRuMedBench: A Russian Medical Language Understanding Benchmark\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePavel Blinov, Arina Reshetnikova, Aleksandr Nesterov, Galina Zubkova, Vladimir Kokh\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 383-392\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eBiomedical Semantic Textual Similarity: Evaluation of Sentence Representations Enhanced with Principal Component Reduction and Word Frequency Weighting\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eKlaudia Kantor, Mikołaj Morzy\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 393-403\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eDemonstration Papers\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf0\"\u003eFront Matter\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 405-405\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eDownload chapter PDF \u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eBlockchain and IoT Enhanced Clinical Workflow\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eManan Shukla, Jianjing Lin, Oshani Seneviratne\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 407-411\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eThe PERISCOPE Data Atlas: A Demonstration of Release v1.2\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eEnea Parimbelli, Cristiana Larizza, Vladimir Urosevic, Andrea Pogliaghi, Manuel Ottaviano, Cindy Cheng et al.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 412-415\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eCordelia: An Application for Automatic ECG Diagnostics\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eLubomir Antoni, Erik Bruoth, Peter Bugata, Peter Bugata Jr., Dávid Gajdoš, Šimon Horvát et al.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 416-420\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eClinical Guidelines as Executable and Interactive Workflows with FHIR-Compliant Health Data Input Using GLEAN\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eWilliam Van Woensel, Samina Abidi, Karthik Tennankore, George Worthen, Syed Sibte Raza Abidi\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 421-425\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eA Goal-Oriented Methodology for Treatment of Patients with Multimorbidity - Goal Comorbidities (GoCom) Proof-of-Concept Demonstration\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eAlexandra Kogan, Mor Peleg, Samson W. Tu, Raviv Allon, Natanel Khaitov, Irit Hochberg\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 426-430\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eDevelopment of AI-Enabled Apps by Patients and Domain Experts Using the Punya Platform: A Case Study for Diabetes\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eEvan Patton, William Van Woensel, Oshani Seneviratne, Giuseppe Loseto, Floriano Scioscia, Lalana Kagal\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 431-435\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eUsing Visual Analytics to Optimize Blood Product Inventory at a Hospital’s Blood Transfusion Service\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eJaber Rad, Jason Quinn, Calvino Cheng, Samina Raza Abidi, Robert Liwski, Syed Sibte Raza Abidi\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 436-440\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003eBack Matter\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf1\"\u003ePages 441-456\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003c!--EndFragment --\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e \u003c\/p\u003e\n\u003cp\u003e\u003c!--EndFragment --\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-cel-widget=\"hushpuppyUpsell_feature_div\" data-csa-c-id=\"kdwktr-arvsmh-r61jq6-yq8e4r\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-asin=\"\" data-csa-c-slot-id=\"hushpuppyUpsell_feature_div\" data-csa-c-content-id=\"hushpuppyUpsell\" data-csa-c-type=\"widget\" data-feature-name=\"hushpuppyUpsell\" class=\"celwidget\" id=\"hushpuppyUpsell_feature_div\"\u003e\u003c\/div\u003e\n\u003cdiv data-cel-widget=\"richProductInformation_feature_div\" data-csa-c-id=\"sxqlnc-nj35vg-vu8nz8-idjk1j\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-asin=\"\" data-csa-c-slot-id=\"richProductInformation_feature_div\" data-csa-c-content-id=\"richProductInformation\" data-csa-c-type=\"widget\" data-feature-name=\"richProductInformation\" class=\"celwidget\" id=\"richProductInformation_feature_div\"\u003e\n\u003cdiv data-cel-widget=\"rich_product_information\" data-csa-c-id=\"jhenf8-xmwmbr-b57t4g-7hw7fa\" class=\"a-section a-spacing-none celwidget\" id=\"rich_product_information\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cb\u003eBOOKREAD™ 5-STEP SATISFACTION GUARANTEE\u003c\/b\u003e\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003e1. No Risk, 30-Day Money-Back Guarantee. \u003cbr\u003e2. instant download. No surprises or hidden fees.\u003cbr\u003e3. Safe Payments via Credit\/Debit Card or PayPal® \u003cbr\u003e4. McAfee™ and SSL secured shopping cart.\u003cbr\u003e5. lifetime customer support.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"My Store","offers":[{"title":"PDF","offer_id":56778145005899,"sku":null,"price":29.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1031\/1204\/8971\/files\/51hygHGcpHL._SL1254.jpg?v=1773316802","url":"https:\/\/bookread.io\/products\/artificial-intelligence-in-medicine-20th-international-conference-on-artificial-intelligence-in-medicine-aime-2022-halifax-ns-canada-june-14-17-lecture-notes-in-artificial-intelligence-1st-ed-2022-edition","provider":"bookread","version":"1.0","type":"link"}