{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,5,25]],"date-time":"2022-05-25T12:43:02Z","timestamp":1653482582617},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2022,5,25]],"date-time":"2022-05-25T00:00:00Z","timestamp":1653436800000},"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":[[2022,5,25]]},"abstract":"<jats:p>Emergency department is a key component of the health system where the management of crowding situations is crucial to the well-being of patients. This study proposes a new machine learning methodology and a queuing network model to measure and optimize crowding through a congestion indicator, which indicates a real-time level saturation.<\/jats:p>","DOI":"10.3233\/shti220402","type":"book-chapter","created":{"date-parts":[[2022,5,25]],"date-time":"2022-05-25T12:12:45Z","timestamp":1653480765000},"source":"Crossref","is-referenced-by-count":0,"title":["Analysis of Saturation in the Emergency Department: A Data-Driven Queuing Model Using Machine Learning"],"prefix":"10.3233","author":[{"given":"Adrien","family":"Wartelle","sequence":"first","affiliation":[{"name":"Computer Science and Digital Society Laboratory (LIST3N), Universit\u00e9 de Technologie de Troyes, Troyes, France (e-mail: adrien.wartelle@utt.fr, farah.chehade@utt.fr, farouk.yalaoui@utt.fr)"},{"name":"Public Health and Performance Department, Centre Hospitalier de Troyes, Troyes, France (e-mail: david.laplache@hcs-sante.fr, stephane.sanchez@hcs-sante.fr)"}]},{"given":"Farah","family":"Mourad-Chehade","sequence":"additional","affiliation":[{"name":"Public Health and Performance Department, Centre Hospitalier de Troyes, Troyes, France (e-mail: david.laplache@hcs-sante.fr, stephane.sanchez@hcs-sante.fr)"}]},{"given":"Farouk","family":"Yalaoui","sequence":"additional","affiliation":[{"name":"Public Health and Performance Department, Centre Hospitalier de Troyes, Troyes, France (e-mail: david.laplache@hcs-sante.fr, stephane.sanchez@hcs-sante.fr)"}]},{"given":"David","family":"Laplanche","sequence":"additional","affiliation":[{"name":"Public Health and Performance Department, Centre Hospitalier de Troyes, Troyes, France (e-mail: david.laplache@hcs-sante.fr, stephane.sanchez@hcs-sante.fr)"}]},{"given":"St\u00e9phane","family":"Sanchez","sequence":"additional","affiliation":[{"name":"Public Health and Performance Department, Centre Hospitalier de Troyes, Troyes, France (e-mail: david.laplache@hcs-sante.fr, stephane.sanchez@hcs-sante.fr)"},{"name":"Research on Health University Department \u2013 University of Reims Champagne Ardenne, Reims, France"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Challenges of Trustable AI and Added-Value on Health"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI220402","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,25]],"date-time":"2022-05-25T12:12:47Z","timestamp":1653480767000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI220402"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,25]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti220402","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,25]]}}}