Predicting Chronic Disease Hospitalizations from Electronic Health Records: An Interpretable Classification Approach
Proceedings of the IEEE(2018)
摘要
Urban living in modern large cities has significant adverse effects on health, increasing the risk of several chronic diseases. We focus on the two leading clusters of chronic diseases, heart disease and diabetes, and develop data-driven methods to predict hospitalizations due to these conditions. We base these predictions on the patients' medical history, recent and more distant, as described in ...
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关键词
Diseases,Medical services,Diabetes,Smart cities,Predictive models,Hospitals,Clustering methods,Classification,Electronic healthcare,Machine learning
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