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Date: 2016
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.14/1070674
Description: Objective: To develop a predictive model for real-time predictions of length of stay, mortality, and readmission for hospitalized patients using electronic health records (EHRs). Materials and Methods ... More
Reviewed: Reviewed
Date: 2014
Language: eng
Resource Type: conference paper abstract
Identifier: http://hdl.handle.net/1959.14/1045666
Description: Objective: To develop dynamic predictive models for real-time outcome predictions of hospitalised patients. Design: Dynamic Bayesian networks (DBNs) were built to model patient outcomes that dynamical ... More
Reviewed: Reviewed
Date: 2013
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.14/339221
Description: Background: Severe hypertension (SHT) (Blood Pressure, BP ≥ 180/110 mmHg) is associated with considerable morbidity and mortality, yet little is known about how it is managed. The purpose of this stud ... More
Full Text: Full Text
Reviewed: Reviewed
Date: 2012
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/341074
Description: Accurate prediction of discharge time and identification of patients at risk of extended length of stay (LOS) can facilitate discharge planning and positively impact both the patient and the hospital ... More
Reviewed: Reviewed
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