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Publications:Readmission prediction using deep learning on electronic health records
Abstract <p>Unscheduled 30-day readmissions a<p>Unscheduled 30-day readmissions are a hallmark of Congestive Heart Failure (CHF) patients that pose significant health risks and escalate care cost. In order to reduce readmissions and curb the cost of care, it is important to initiate targeted intervention programs for patients at risk of readmission. This requires identifying high-risk patients at the time of discharge from hospital. Here, using real data from over 7,500 CHF patients hospitalized between 2012 and 2016 in Sweden, we built and tested a deep learning framework to predict 30-day unscheduled readmission. We present a cost-sensitive formulation of Long Short-Term Memory (LSTM) neural network using expert features and contextual embedding of clinical concepts. This study targets key elements of an Electronic Health Record (EHR) driven prediction model in a single framework: using both expert and machine derived features, incorporating sequential patterns and addressing the class imbalance problem. We show that the model with all key elements achieves a higher discrimination ability (AUC 0.77) compared to the rest. Additionally, we present a simple financial analysis to estimate annual savings if targeted interventions are offered to high risk patients. © 2019 The Authors</p>isk patients. © 2019 The Authors</p>
Author Awais Ashfaq + , Anita Sant'Anna + , Markus Lingman + , Sławomir Nowaczyk +
DOI http://dx.doi.org/10.1016/j.jbi.2019.103256  +
Diva http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:1308084
Journal Journal of Biomedical Informatics  +
Projects HiCube - behovsmotiverad hälsoinnovation +
PublicationType Journal Paper  +
Publisher Academic Press  +
Title Readmission prediction using deep learning on electronic health records  +
Volume 97  +
Year 2019  +
Has queryThis property is a special property in this wiki. Publications:Readmission prediction using deep learning on electronic health records + , Publications:Readmission prediction using deep learning on electronic health records + , Publications:Readmission prediction using deep learning on electronic health records + , Publications:Readmission prediction using deep learning on electronic health records + , Publications:Readmission prediction using deep learning on electronic health records + , Publications:Readmission prediction using deep learning on electronic health records + , Publications:Readmission prediction using deep learning on electronic health records + , Publications:Readmission prediction using deep learning on electronic health records + , Publications:Readmission prediction using deep learning on electronic health records + , Publications:Readmission prediction using deep learning on electronic health records +
Categories Publication  +
Modification dateThis property is a special property in this wiki. 25 September 2019 14:26:50  +
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