{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T09:49:15Z","timestamp":1747216155982,"version":"3.40.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"print","value":"9781643684505"},{"type":"electronic","value":"9781643684512"}],"license":[{"start":{"date-parts":[[2023,10,20]],"date-time":"2023-10-20T00:00:00Z","timestamp":1697760000000},"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":[[2023,10,20]]},"abstract":"<jats:p>Nowadays, hospitals are facing the need for an accurate prediction of rehospitalizations. Rehospitalizations, indeed, represent both a high financial burden for the hospital and a proxy measure of care quality. The current work aims to address such a problem with an innovative approach, by building a Process Mining-Deep Learning model for the prediction of 6-months rehospitalization of patients hospitalized in a Cardiology specialty at San Raffaele Hospital, starting from their medical history contained in the Patients Hospital Records, with the double purpose of supporting resource planning and identifying at-risk patients.<\/jats:p>","DOI":"10.3233\/shti230786","type":"book-chapter","created":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T08:17:14Z","timestamp":1698049034000},"source":"Crossref","is-referenced-by-count":0,"title":["Improving Cardiology-Rehospitalization Prediction Through the Synergy of Process Mining and Deep Learning: An Innovative Approach"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-9518-5302","authenticated-orcid":false,"given":"Eleonora","family":"Spizzi","sequence":"first","affiliation":[{"name":"Politecnico di Milano, Italy"},{"name":"Ospedale San Raffaele, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4362-1179","authenticated-orcid":false,"given":"Damiano","family":"Quadraro","sequence":"additional","affiliation":[{"name":"Ospedale San Raffaele, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0033-3118","authenticated-orcid":false,"given":"Federico","family":"Esposti","sequence":"additional","affiliation":[{"name":"Ospedale San Raffaele, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7371-3624","authenticated-orcid":false,"given":"Manuela","family":"Ferrario","sequence":"additional","affiliation":[{"name":"Politecnico di Milano, Italy"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Telehealth Ecosystems in Practice"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI230786","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T08:17:15Z","timestamp":1698049035000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI230786"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,20]]},"ISBN":["9781643684505","9781643684512"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti230786","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"type":"print","value":"0926-9630"},{"type":"electronic","value":"1879-8365"}],"subject":[],"published":{"date-parts":[[2023,10,20]]}}}