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Studies in Health Technology and Informatics
Heart failure (HF) is a grave problem in the clinical and public health sectors. The aim of this study is to develop a phenotyping algorithm to identify patients with HF by using the medical information database network (MID-NET) in Japan. Methods: From April 1 to December 31, 2013, clinical data of patients with HF were obtained from MID-NET. A phenotyping algorithm was developed with machine learning by using disease names, examinations, and medications. Two doctors validated the cases bydoi:10.3233/shti210157 pmid:34042742 fatcat:262bbl5idvhybdtxfrmiwtrr2y