{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T04:36:25Z","timestamp":1688186185397},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684000","type":"print"},{"value":"9781643684017","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,6,29]],"date-time":"2023-06-29T00:00:00Z","timestamp":1687996800000},"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":[[2023,6,29]]},"abstract":"<jats:p>The knee is the joint most affected by osteoarthritis and in its severe form can significantly affect people\u2019s physical and functional abilities. The increased demand for surgery leads to greater attention by health care management to be able to keep costs down. A major expense item for this procedure is Length of Stay (LOS). In this study, several Machine Learning algorithms were tested in order to construct not only a valid predictor of LOS but also to know among the selected variables the main risk factors. To do so, activity data from the Evangelical Hospital \u201cBetania\u201d in Naples, Italy, from 2019\u20132020 were used. Among the algorithms, the best are the classification algorithms with accuracy values exceeding 90%. Finally, the results are in line with those shown by two other comparison hospitals in the area.<\/jats:p>","DOI":"10.3233\/shti230441","type":"book-chapter","created":{"date-parts":[[2023,6,30]],"date-time":"2023-06-30T07:52:14Z","timestamp":1688111534000},"source":"Crossref","is-referenced-by-count":0,"title":["Effect of Clinical and Demographic Variables on the Hospital Stay of Patients Undergoing Total Knee Arthroplasty"],"prefix":"10.3233","author":[{"given":"Marta Rosaria","family":"Marino","sequence":"first","affiliation":[{"name":"Department of Public Health, University of Naples \u201cFederico II\u201d, Naples, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vincenzo","family":"Bottino","sequence":"additional","affiliation":[{"name":"Evangelical Hospital \u201cBetania\u201d, Naples, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giacomo","family":"Negri","sequence":"additional","affiliation":[{"name":"Evangelical Hospital \u201cBetania\u201d, Naples, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maria Anna","family":"Stingone","sequence":"additional","affiliation":[{"name":"Evangelical Hospital \u201cBetania\u201d, Naples, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mario Alessandro","family":"Russo","sequence":"additional","affiliation":[{"name":"Department of Public Health, University of Naples \u201cFederico II\u201d, Naples, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maria","family":"Triassi","sequence":"additional","affiliation":[{"name":"Department of Public Health, University of Naples \u201cFederico II\u201d, Naples, Italy"},{"name":"Interdepartmental Center for Research in Healthcare Management and Innovation in Healthcare (CIRMIS), University of Naples \u201cFederico II\u201d, Naples, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Healthcare Transformation with Informatics and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI230441","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,30]],"date-time":"2023-06-30T07:52:15Z","timestamp":1688111535000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI230441"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,29]]},"ISBN":["9781643684000","9781643684017"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti230441","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,29]]}}}