{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T23:37:31Z","timestamp":1648597051578},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2020,11,23]],"date-time":"2020-11-23T00:00:00Z","timestamp":1606089600000},"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":[[2020,11,23]]},"abstract":"<jats:p>One of the most important challenges in the scenario of COVID-19 is to design and develop decision support systems that can help medical staff to identify a cohort of patients that is more likely to have worse clinical evolution. To achieve this objective it is necessary to work on collected data, pre-process them in order to obtain a consistent dataset and then extract the most relevant features with advanced statistical methods like principal component analysis. As preliminary results of this research, very influential features that emerged are the presence of cardiac and liver illnesses and the levels of some inflammatory parameters at the moment of diagnosis.<\/jats:p>","DOI":"10.3233\/shti200706","type":"book-chapter","created":{"date-parts":[[2020,11,23]],"date-time":"2020-11-23T23:39:04Z","timestamp":1606174744000},"source":"Crossref","is-referenced-by-count":0,"title":["Reuse of Clinical COVID-19 Patient Data: Pre-Processing for Future Classification"],"prefix":"10.3233","author":[{"given":"Elena","family":"Lazarova","sequence":"first","affiliation":[{"name":"Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), University of Genoa, Italy"}]},{"given":"Sara","family":"Mora","sequence":"additional","affiliation":[{"name":"Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), University of Genoa, Italy"}]},{"given":"Antonio","family":"Di Biagio","sequence":"additional","affiliation":[{"name":"Division of Infectious Diseases, IRCCS Ospedale Policlinico San Martino, Genoa, Italy"}]},{"given":"Antonio","family":"Vena","sequence":"additional","affiliation":[{"name":"Division of Infectious Diseases, IRCCS Ospedale Policlinico San Martino, Genoa, Italy"}]},{"given":"Mauro","family":"Giacomini","sequence":"additional","affiliation":[{"name":"Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), University of Genoa, Italy"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Integrated Citizen Centered Digital Health and Social Care"],"original-title":[],"link":[{"URL":"http:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI200706","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,25]],"date-time":"2020-11-25T02:49:06Z","timestamp":1606272546000},"score":1,"resource":{"primary":{"URL":"http:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI200706"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,23]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti200706","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,11,23]]}}}