Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records

17 May 2019Yanshan WangYiqing ZhaoTerry M. TherneauElizabeth J. AtkinsonAhmad P. TaftiNan ZhangShreyasee AminAndrew H. LimperHongfang Liu

Machine learning has become ubiquitous and a key technology on mining electronic health records (EHRs) for facilitating clinical research and practice. Unsupervised machine learning, as opposed to supervised learning, has shown promise in identifying novel patterns and relations from EHRs without using human created labels... (read more)

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