{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T08:13:23Z","timestamp":1656576803864},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T00:00:00Z","timestamp":1656460800000},"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":[[2022,6,29]]},"abstract":"<jats:p>We developed a neural network architecture to evaluate the patient\u2019s state using temporal data, patient\u2019s demographics and comorbidities. We examined the model\u2019s ability to predict both a binary medication-treatment decision and its specific dose in three common scenarios: hypokalemia, hypoglycemia and hypotension. We partition the common 12-hours horizon window into three sub-windows, examining how patterns of treatment evolve following a key clinical event or state. This partitioned analysis also helps in alleviating the problem of small data sets, by utilizing previous sub-windows\u2019 data as additional training data. We also propose a solution to the problem of the relative inability of dose-prediction models to output a \u201cno treatment\u201d classification, through the use of sequential prediction.<\/jats:p>","DOI":"10.3233\/shti220738","type":"book-chapter","created":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T07:34:15Z","timestamp":1656574455000},"source":"Crossref","is-referenced-by-count":0,"title":["Treatment Prediction in the ICU Setting Using a Partitioned, Sequential Deep Time Series Analysis"],"prefix":"10.3233","author":[{"given":"Michael","family":"Shapiro","sequence":"first","affiliation":[{"name":"Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel"},{"name":"Department of Software and Information Systems Engineering (SISE)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuval","family":"Shahar","sequence":"additional","affiliation":[{"name":"Department of Software and Information Systems Engineering (SISE)"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Advances in Informatics, Management and Technology in Healthcare"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI220738","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T07:34:15Z","timestamp":1656574455000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI220738"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,29]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti220738","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,29]]}}}