High-throughput Phenotyping via Denoised Normal Mixture Transformation. - Sheng Yu 002; Yumeng Ma; Jessica L. Gronsbell; Katherine P. Liao; Tianrun A. Cai; Ashwin N. Ananthakrishnan; Vivian S. Gainer; Susanne E. Churchill; Peter Szolovits; Shawn N. Murphy; Isaac S. Kohane; Tianxi Cai (AMIA, 2017)

High-Throughput Multimodal Automated Phenotyping (MAP) Incorporating Natural Language Processing with Application to PheWAS. - Katherine P. Liao; Jiehuan Sun; Tianrun A. Cai; Nicholas B. Link; Chuan Hong; Jie Huang 030; Jennifer E. Huffman; Jessica L. Gronsbell; Lauren Costa; Victor M. Castro; Vivian S. Gainer; Shawn N. Murphy; et al. (AMIA, 2018)

Enabling phenotypic big data with PheNorm. - Sheng Yu 002; Yumeng Ma; Jessica L. Gronsbell; Tianrun A. Cai; Ashwin N. Ananthakrishnan; Vivian S. Gainer; Susanne E. Churchill; Peter Szolovits; Shawn N. Murphy; Isaac S. Kohane; Katherine P. Liao; Tianxi Cai (J. Am. Medical Informatics Assoc., 2018)

High-throughput multimodal automated phenotyping (MAP) with application to PheWAS. - Katherine P. Liao; Jiehuan Sun; Tianrun A. Cai; Nicholas B. Link; Chuan Hong; Jie Huang 030; Jennifer E. Huffman; Jessica L. Gronsbell; Yichi Zhang; Yuk-Lam Ho; Victor M. Castro; Vivian S. Gainer; et al. (J. Am. Medical Informatics Assoc., 2019)

Efficient Estimation and Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling. - Jessica L. Gronsbell; Molei Liu; Lu Tian; Tianxi Cai (CoRR, 2020)

Marginal Structural Models Using Calibrated Weights With SuperLearner: Application to Type II Diabetes Cohort. - Sumeet Kalia; Olli Saarela; Tao Chen; Braden O'Neill; Christopher Meaney; Jessica L. Gronsbell; Ervin Sejdic; Michael D. Escobar; Babak Aliarzadeh; Rahim Moineddin; Conrad Pow; Frank M. Sullivan; et al. (IEEE J. Biomed. Health Informatics, 2022)

Machine learning approaches for electronic health records phenotyping: a methodical review. - Siyue Yang; Paul Varghese; Ellen Stephenson; Karen Tu; Jessica L. Gronsbell (J. Am. Medical Informatics Assoc., 2023)

A tutorial on fairness in machine learning in healthcare. - Jianhui Gao; Benson Chou; Zachary R. McCaw; Hilary Thurston; Paul Varghese; Chuan Hong; Jessica L. Gronsbell (CoRR, 2024)

Another look at inference after prediction. - Jessica L. Gronsbell; Jianhui Gao; Yaqi Shi; Zachary R. McCaw; David Cheng (CoRR, 2024)

Semi-supervised ROC analysis for reliable and streamlined evaluation of phenotyping algorithms. - Jianhui Gao; Clara-Lea Bonzel; Chuan Hong; Paul Varghese; Karim Zakir; Jessica L. Gronsbell (J. Am. Medical Informatics Assoc., 2024)

fairmetrics: An R package for group fairness evaluation. - Benjamin Smith; Jianhui Gao; Jessica L. Gronsbell (CoRR, 2025)

When Algorithms Infer Gender: Revisiting Computational Phenotyping with Electronic Health Records Data. - Jessica L. Gronsbell; Hilary Thurston; Lillian Dong; Vanessa Ferguson; Diksha Sen Chaudhury; Braden O'Neill; Katrina S. Sha; Rebecca Bonneville (CoRR, 2025)