{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T09:11:51Z","timestamp":1685610711557},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643683881","type":"print"},{"value":"9781643683898","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,5,18]],"date-time":"2023-05-18T00:00:00Z","timestamp":1684368000000},"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":[[2023,5,18]]},"abstract":"<jats:p>Missing data is a common problem in the intensive care unit as a variety of factors contribute to incomplete data collection in this clinical setting. This missing data has a significant impact on the accuracy and validity of statistical analyses and prognostic models. Several imputation methods can be used to estimate the missing values based on the available data. Although simple imputations with mean or median generate reasonable results in terms of mean absolute error, they do not account for the currentness of the data. Furthermore, heterogeneous time span of data records adds to this complexity, especially in high-frequency intensive care unit datasets. Therefore, we present DeepTSE, a deep model that is able to cope with both, missing data and heterogeneous time spans. We achieved promising results on the MIMIC-IV dataset that can compete with and even outperform established imputation methods.<\/jats:p>","DOI":"10.3233\/shti230110","type":"book-chapter","created":{"date-parts":[[2023,5,19]],"date-time":"2023-05-19T08:43:46Z","timestamp":1684485826000},"source":"Crossref","is-referenced-by-count":0,"title":["DeepTSE: A Time-Sensitive Deep Embedding of ICU Data for Patient Modeling and Missing Data Imputation"],"prefix":"10.3233","author":[{"given":"Michael","family":"Fujarski","sequence":"first","affiliation":[{"name":"Institute of Medical Informatics, University of M\u00fcnster, Germany"}]},{"given":"Christian","family":"Porschen","sequence":"additional","affiliation":[{"name":"Department of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital M\u00fcnster, M\u00fcnster, Germany"}]},{"given":"Lucas","family":"Plagwitz","sequence":"additional","affiliation":[{"name":"Institute of Medical Informatics, University of M\u00fcnster, Germany"}]},{"given":"Daniel","family":"Stroth","sequence":"additional","affiliation":[{"name":"Institute of Medical Informatics, University of M\u00fcnster, Germany"}]},{"given":"Catharina Marie","family":"Van Alen","sequence":"additional","affiliation":[{"name":"Institute of Medical Informatics, University of M\u00fcnster, Germany"}]},{"given":"Mahan","family":"Sadjadi","sequence":"additional","affiliation":[{"name":"Department of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital M\u00fcnster, M\u00fcnster, Germany"}]},{"given":"Raphael","family":"Weiss","sequence":"additional","affiliation":[{"name":"Department of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital M\u00fcnster, M\u00fcnster, Germany"}]},{"given":"Alexander","family":"Zarbock","sequence":"additional","affiliation":[{"name":"Department of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital M\u00fcnster, M\u00fcnster, Germany"}]},{"given":"Thilo","family":"Von Groote","sequence":"additional","affiliation":[{"name":"Department of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital M\u00fcnster, M\u00fcnster, Germany"}]},{"given":"Julian","family":"Varghese","sequence":"additional","affiliation":[{"name":"Institute of Medical Informatics, University of M\u00fcnster, Germany"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Caring is Sharing \u2013 Exploiting the Value in Data for Health and Innovation"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI230110","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,31]],"date-time":"2023-05-31T14:56:46Z","timestamp":1685545006000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI230110"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,18]]},"ISBN":["9781643683881","9781643683898"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti230110","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5,18]]}}}