Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study

24 Aug 2019Najibesadat SadatiMilad Zafar NezhadRatna Babu ChinnamDongxiao Zhu

Increasing volume of Electronic Health Records (EHR) in recent years provides great opportunities for data scientists to collaborate on different aspects of healthcare research by applying advanced analytics to these EHR clinical data. A key requirement however is obtaining meaningful insights from high dimensional, sparse and complex clinical data... (read more)

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