{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T04:05:31Z","timestamp":1751342731978,"version":"3.41.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686004","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,6,26]],"date-time":"2025-06-26T00:00:00Z","timestamp":1750896000000},"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":[[2025,6,26]]},"abstract":"<jats:p>The estimation of the Length of Stay (LOS) is a critical factor in clinical and managerial decision-making, helping healthcare professionals optimize hospital efficiency. For patients with orthopedic trauma, particularly those with lower limb fractures, LOS prediction becomes essential for resource planning and improving patient care. This study aims to analyze and predict LOS for patients with lower limb fractures admitted to the A.O.R.N. \u201cAntonio Cardarelli\u201d hospital in Naples. To achieve this, five neural network-based classifiers were implemented, and their performances were compared with those obtained in previous studies conducted by our research group, which employed well-established Artificial Intelligence (AI) models.<\/jats:p>","DOI":"10.3233\/shti250702","type":"book-chapter","created":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T08:21:43Z","timestamp":1751271703000},"source":"Crossref","is-referenced-by-count":0,"title":["The Role of Machine Learning in LOS Reduction for Patients Affected by Lower Limb Fracture"],"prefix":"10.3233","author":[{"given":"Andrea","family":"Fidecicchi","sequence":"first","affiliation":[{"name":"Dept. of Public Health, University of Naples \u201cFederico II\u201d, Naples, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ida","family":"Santalucia","sequence":"additional","affiliation":[{"name":"Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antonella","family":"Toscano","sequence":"additional","affiliation":[{"name":"Dept. of Chemical Engineering, Materials and Industrial Production, University of Naples \u201cFederico II\u201d, Naples, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antonio","family":"D\u2019Amore","sequence":"additional","affiliation":[{"name":"A. Cardarelli Hospital, Naples, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carlo","family":"Bernardo","sequence":"additional","affiliation":[{"name":"A. Cardarelli Hospital, Naples, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giovanni","family":"Improta","sequence":"additional","affiliation":[{"name":"Dept. of Public Health, University of Naples \u201cFederico II\u201d, Naples, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Global Healthcare Transformation in the Era of Artificial Intelligence and Informatics"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI250702","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T08:21:43Z","timestamp":1751271703000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI250702"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,26]]},"ISBN":["9781643686004"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti250702","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,6,26]]}}}