Mining Electronic Health Records (EHRs): A Survey
作者： Pranjul Yadav , Michael Steinbach , Vipin Kumar , Gyorgy Simon
DOI: 10.1145/3127881
关键词:
摘要: The continuously increasing cost of the US healthcare system has received significant attention. Central to ideas aimed at curbing this trend is use technology in form mandate implement electronic health records (EHRs). EHRs consist patient information such as demographics, medications, laboratory test results, diagnosis codes, and procedures. Mining could lead improvement management contain detailed related disease prognosis for large populations. In article, we provide a structured comprehensive overview data mining techniques modeling EHRs. We first understanding major application areas which EHR been applied then discuss nature its accompanying challenges. Next, describe approaches used mining, metrics associated with EHRs, various study designs. With foundation, systematic methodological organization existing model future research.
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