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The EWS is designed to provide reliable early alarms for patients at the general hospital wards (GHWs). The main task of EWS is a challenging classification problem on high-dimensional stream data with irregular, multi-scale data gaps, measurement errors, outliers, and class imbalance. This paper proposes a novel data mining framework for analyzing such medical data streams. The authors assess the feasibility of the proposed EWS approach through retrospective study that includes data from 41,503 visits at a major hospital. Finally, the system is applied in a clinical trial at a major hospital and obtains promising results. This project is an example of multidisciplinary cyber-physical systems involving researchers in clinical science, data mining, and nursing staff.<\/p>","DOI":"10.4018\/jkdb.2011070101","type":"journal-article","created":{"date-parts":[[2012,4,5]],"date-time":"2012-04-05T13:06:15Z","timestamp":1333631175000},"page":"1-20","source":"Crossref","is-referenced-by-count":6,"title":["Early Deterioration Warning for Hospitalized Patients by Mining Clinical Data"],"prefix":"10.4018","volume":"2","author":[{"given":"Yi","family":"Mao","sequence":"first","affiliation":[{"name":"Washington University in St. Louis, USA, and Xidian University, China"}]},{"given":"Yixin","family":"Chen","sequence":"additional","affiliation":[{"name":"Washington University in St. Louis, USA"}]},{"given":"Gregory","family":"Hackmann","sequence":"additional","affiliation":[{"name":"Washington University in St. Louis, USA"}]},{"given":"Minmin","family":"Chen","sequence":"additional","affiliation":[{"name":"Washington University in St. Louis, USA"}]},{"given":"Chenyang","family":"Lu","sequence":"additional","affiliation":[{"name":"Washington University in St. Louis, USA"}]},{"given":"Marin","family":"Kollef","sequence":"additional","affiliation":[{"name":"Washington University School of Medicine, USA"}]},{"given":"Thomas C.","family":"Bailey","sequence":"additional","affiliation":[{"name":"Washington University School of Medicine, USA"}]}],"member":"2432","reference":[{"key":"jkdb.2011070101-0","doi-asserted-by":"crossref","unstructured":"Bloodgood, M., & Vijay-Shanker, K. 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