Doosup Choi

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Analyzing patient records is important for improving the quality of medical services and for understanding each patient’s historical diseases. However, the huge size of the data requires statistical analysis procedures. In this paper, we proposed a probabilistic model—the disease-medicine topic model (DMTM)—to explore connected knowledge about diseases and(More)
Wide variance exists among individuals and institutions for treating patients with medicine. This paper analyzes prescription patterns using a topic model with more than four million prescriptions. Specifically, we propose the disease-medicine pattern model (DMPM) to extract patterns from a large collection of insurance data by considering disease codes(More)
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