{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,5,25]],"date-time":"2024-05-25T00:27:10Z","timestamp":1716596830391},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685182","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,5,23]],"date-time":"2024-05-23T00:00:00Z","timestamp":1716422400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,5,23]]},"abstract":"<jats:p>Thrombophilia, a predisposition to thrombosis, poses significant diagnostic challenges due to its multi-factorial nature, encompassing genetic and acquired factors. Current diagnostic paradigms, primarily relying on a combination of clinical assessment and targeted laboratory tests, often fail to capture the complex interplay of factors contributing to thrombophilia risk. This paper proposes an innovative artificial intelligence (AI)-based methodology aimed to enhance the prediction of thrombophilia risk. The designed multidimensional risk assessment model integrates and elaborates through AI a comprehensive collection of patient data types, including genetic markers, clinical parameters, patient history, and lifestyle factors, in order to obtain advanced and personalized explainable diagnoses.<\/jats:p>","DOI":"10.3233\/shti240073","type":"book-chapter","created":{"date-parts":[[2024,5,24]],"date-time":"2024-05-24T08:16:45Z","timestamp":1716538605000},"source":"Crossref","is-referenced-by-count":0,"title":["Enhancing Thrombophilia Risk Prediction Through AI-Based Methodologies"],"prefix":"10.3233","author":[{"given":"Daniela","family":"Mazzuca","sequence":"first","affiliation":[{"name":"Immunohaematology Section, Annunziata Hospital, Cosenza, Italy"},{"name":"Department of Clinical and Experimental Medicine, University Magna Gr\u00e6cia of Catanzaro, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francesco","family":"Zinno","sequence":"additional","affiliation":[{"name":"Immunohaematology Section, Annunziata Hospital, Cosenza, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Agostino","family":"Forestiero","sequence":"additional","affiliation":[{"name":"Institute for High-Performance Computing and Networking, National Research Council, Rende (CS), Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","pHealth 2024"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI240073","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,24]],"date-time":"2024-05-24T08:16:48Z","timestamp":1716538608000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI240073"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,23]]},"ISBN":["9781643685182"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti240073","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5,23]]}}}