Now showing items 1-2 of 2

    • High-Throughput Phenotyping With Electronic Medical Record Data Using a Common Semi-Supervised Approach (PheCAP) 

      Zhang, Yichi; Cai, Tianrun; Yu, Sheng; Cho, Kelly; Hong, Chuan; Sun, Jiehuan; Huang, Jie; Xia, Zongqi; Castro, Victor; Gagnon, David; Savova, Guergana; Churchill, Susanne; Gaziano, John; Kohane, Isaac; Cai, Tianxi; Ho, Yuk-Lam; Ananthakrishnan, Ashwin; Shaw, Stanley; Gainer, Vivian; Link, Nicholas; Honerlaw, Jacqueline; Huong, Sicong; Karlson, Elizabeth; Plenge, Robert; Szolovits, Peter; O'Donnell, Christopher; Murphy, Shawn; Liao, Katherine (Springer Science and Business Media LLC, 2019-11-20)
      Phenotypes are the foundation for clinical and genetic studies of disease risk and outcomes. The growth of biobanks linked to electronic medical record (EMR) data has both facilitated and increased the demand for efficient, ...
    • Identification of subjects with polycystic ovary syndrome using electronic health records 

      Castro, Victor; Shen, Yuanyuan; Yu, Sheng; Finan, Sean; Pau, Cindy Ta; Gainer, Vivian; Keefe, Candace C.; Savova, Guergana; Murphy, Shawn N.; Cai, Tianxi; Welt, Corrine K. (BioMed Central, 2015)
      Background: Polycystic ovary syndrome (PCOS) is a heterogeneous disorder because of the variable criteria used for diagnosis. Therefore, International Classification of Diseases 9 (ICD-9) codes may not accurately capture ...