{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T22:58:46Z","timestamp":1729637926050,"version":"3.28.0"},"reference-count":37,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,6,22]],"date-time":"2022-06-22T00:00:00Z","timestamp":1655856000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-009"},{"start":{"date-parts":[[2022,6,22]],"date-time":"2022-06-22T00:00:00Z","timestamp":1655856000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-001"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,6,22]]},"DOI":"10.1109\/memea54994.2022.9856415","type":"proceedings-article","created":{"date-parts":[[2022,8,22]],"date-time":"2022-08-22T20:02:53Z","timestamp":1661198573000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["Unsupervised Machine Learning to Identify Convalescent COVID-19 Phenotypes"],"prefix":"10.1109","author":[{"given":"Sarah","family":"Adamo","sequence":"first","affiliation":[{"name":"University of Naples &#x201C;Federico II&#x201D;,Department of Electrical Engineering and Information Technology,Naples,Italy"}]},{"given":"Carlo","family":"Ricciardi","sequence":"additional","affiliation":[{"name":"University of Naples &#x201C;Federico II&#x201D;,Department of Electrical Engineering and Information Technology,Naples,Italy"}]},{"given":"Pasquale","family":"Ambrosino","sequence":"additional","affiliation":[{"name":"Cardiac Rehabilitation Unit, Istituti Clinici Scientifici Maugeri IRCCS,Telese Terme,Italy"}]},{"given":"Mauro","family":"Maniscalco","sequence":"additional","affiliation":[{"name":"Pulmonary Rehabilitation Unit, Istituti Clinici Scientifici Maugeri IRCCS,Telese Terme,Italy"}]},{"given":"Arcangelo","family":"Biancardi","sequence":"additional","affiliation":[{"name":"Bioengineering Unit, Istituti Clinici Scientifici Maugeri IRCCS,Telese Terme,Italy"}]},{"given":"Giuseppe","family":"Cesarelli","sequence":"additional","affiliation":[{"name":"University of Naples &#x201C;Federico II&#x201D;,Department of Chemical, Materials and Production Engineering,Naples,Italy"}]},{"given":"Leandro","family":"Donisi","sequence":"additional","affiliation":[{"name":"University of Naples &#x201C;Federico II&#x201D;,Department of Chemical, Materials and Production Engineering,Naples,Italy"}]},{"given":"Giovanni","family":"D'Addio","sequence":"additional","affiliation":[{"name":"Bioengineering Unit, Istituti Clinici Scientifici Maugeri IRCCS,Telese Terme,Italy"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa2002032"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa2001017"},{"key":"ref31","first-page":"199","article-title":"Parallel coordinates","author":"inselberg","year":"2009","journal-title":"Human-Machine Interactive Systems"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/VISUAL.1990.146402"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.120.047549"},{"key":"ref36","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1136\/postgradmedj-2020-138227","article-title":"COVID-19 and functional disability: current insights and rehabilitation strategies","volume":"97","author":"ambrosino","year":"2021","journal-title":"Postgraduate Medical Journal"},{"key":"ref35","first-page":"2244","article-title":"Hemostatic Changes in Patients with COVID-19: A Meta-Analysis with Meta-Regressions","volume":"9","author":"di","year":"2020","journal-title":"Clin Med"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.ejim.2021.04.004","article-title":"Diagnostic accuracy of D-Dimer testing for recurrent venous thromboembolism: A systematic review with meta-analysis","volume":"89","author":"di","year":"2021","journal-title":"VTE recurrence and D-dimer European Journal of Internal Medicine"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.18.20260"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"448","DOI":"10.3390\/electronics11030448","article-title":"Bidimensional and Tridimensional Poincar&#x00E9; Maps in Cardiology: A Multiclass Machine Learning Study","volume":"11","author":"donisi","year":"2022","journal-title":"Electronics"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-31635-8_140"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICACEA.2015.7164783"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/9152506"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1148\/rg.2017160130"},{"journal-title":"Machine Learning","year":"1997","author":"mitchell","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.104866"},{"key":"ref18","first-page":"101112","article-title":"Overcoming COVID-19 Investigators","volume":"40","author":"geva","year":"2021","journal-title":"Data-driven clustering identifies features distinguishing multisystem inflammatory syndrome from acute COVID-19 in children and adolescents"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/MWSCAS48704.2020.9184493"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/0377-0427(87)90125-7"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1183\/23120541.00108-2021"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1089\/g4h.2020.0095"},{"key":"ref27","first-page":"100","article-title":"Algorithm AS 136: A k-means clustering algorithm","volume":"28","author":"hartigan","year":"1979","journal-title":"Journal of the Royal Statistical Society Series C (Applied Statistics)"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1183\/13993003.02197-2020"},{"key":"ref5","article-title":"Exercise rehabilitation associates with lower mortality and hospitalisation in cardiovascular disease patients with COVID-19","author":"buckley","year":"2021","journal-title":"European Journal of Preventive Cardiology"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.5121\/ijcsit.2018.10203"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCHEARTFAILURE.117.004313"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1177\/0300060520948382"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s11136-021-02908-z"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2018.01.002"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30183-5"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/s21248503"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s12553-020-00449-y"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-020-77243-3","article-title":"Machine learning to predict mortality after rehabilitation among patients with severe stroke","volume":"10","author":"scrutinio","year":"2020","journal-title":"Scientific Reports"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ESGCO49734.2020.9158144"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2020.105712"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"451","DOI":"10.1016\/S0031-3203(02)00060-2","article-title":"The global k-means clustering algorithm","volume":"36","author":"likas","year":"2003","journal-title":"Pattern Recognition"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ESGCO49734.2020.9158152"}],"event":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","start":{"date-parts":[[2022,6,22]]},"location":"Messina, Italy","end":{"date-parts":[[2022,6,24]]}},"container-title":["2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9855895\/9856402\/09856415.pdf?arnumber=9856415","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,15]],"date-time":"2023-02-15T15:32:43Z","timestamp":1676475163000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9856415\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,22]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/memea54994.2022.9856415","relation":{},"subject":[],"published":{"date-parts":[[2022,6,22]]}}}