Application of clinical text data for phenome-wide association studies (PheWASs). - Scott J. Hebbring; Majid Rastegar-Mojarad; Zhan Ye; John Mayer; Crystal Jacobson; Simon M. Lin (Bioinform., 2015)

Use of Electronic Health Record to Predict Family Relationships for Phenome-wide Research. - Xiayuan Huang; Robert C. Elston; John Mayer; Zhan Ye; Yuqi He; David Page; Scott J. Hebbring (AMIA, 2018)

Applying family analyses to electronic health records to facilitate genetic research. - Xiayuan Huang; Robert C. Elston; Guilherme J. M. Rosa; John Mayer; Zhan Ye; Terrie E. Kitchner; Murray H. Brilliant; David Page; Scott J. Hebbring (Bioinform., 2018)

Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network. - Xinyuan Zhang 003; Yogasudha Veturi; Shefali Setia Verma; William Bone; Anurag Verma; Anastasia Lucas; Scott J. Hebbring; Joshua C. Denny; Ian B. Stanaway; Gail P. Jarvik; David R. Crosslin; Eric B. Larson; et al. (PSB, 2019)

High-Throughput Machine Learning from Electronic Health Records. - Ross S. Kleiman; Paul S. Bennett; Peggy L. Peissig; Richard L. Berg; Zhaobin Kuang; Scott J. Hebbring; Michael D. Caldwell; David Page (CoRR, 2019)

High-Throughput Approach to Modeling Healthcare Costs Using Electronic Healthcare Records. - Alexander K. Taylor 001; Ross Kleiman; Scott J. Hebbring; Peggy L. Peissig; David Page (CoRR, 2020)

Medical Big Data Analysis System to Discover Associations between Genetic Variants and Diseases. - Daehee Kim; Stephanie Gamboa; Vanessa Hernandez; Marlen Martinez-Lopez; Scott J. Hebbring; John Mayer; Jamie Fox (ICC, 2021)

E-Pedigrees: a large-scale automatic family pedigree prediction application. - Xiayuan Huang; Nicholas P. Tatonetti; Katie Larow; Brooke Delgoffee; John Mayer; David Page; Scott J. Hebbring (Bioinform., 2021)

The All of Us Research Program: Data quality, utility, and diversity. - Andrea H. Ramirez; Lina M. Sulieman; David J. Schlueter; Alese E. Halvorson; Jun Qian; Francis Ratsimbazafy; Roxana Loperena-Cortes; Kelsey R. Mayo; Melissa A. Basford; Nicole Deflaux; Karthik Muthuraman; Karthik Natarajan; et al. (Patterns, 2022)