Using model classifications as quantitative traits to estimate stroke heritability. - Phyllis M. Thangaraj; Fernanda C. Polubriaginof; Benjamin Kummer; Rami Vanguri; Tal Lorberbaum; Joseph D. Romano; Kayla Quinnies; Alexandre Yahi; Mitchell S. V. Elkind; Nicholas P. Tatonetti (AMIA, 2018)

PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model. - Benjamin S. Glicksberg; Boris Oskotsky; Phyllis M. Thangaraj; Nicholas Giangreco; Marcus A. Badgeley; Kipp W. Johnson; Debajyoti Datta; Vivek A. Rudrapatna; Nadav Rappoport; Mark M. Shervey; Riccardo Miotto; Theodore C. Goldstein; et al. (Bioinform., 2019)

Comparative analysis, applications, and interpretation of electronic health record-based stroke phenotyping methods. - Phyllis M. Thangaraj; Benjamin Kummer; Tal Lorberbaum; Mitchell S. V. Elkind; Nicholas P. Tatonetti (BioData Min., 2020)

An explainable machine learning-based phenomapping strategy for adaptive predictive enrichment in randomized clinical trials. - Evangelos K. Oikonomou; Phyllis M. Thangaraj; Deepak L. Bhatt; Joseph S. Ross; Lawrence H. Young; Harlan M. Krumholz; Marc A. Suchard; Rohan Khera (npj Digit. Medicine, 2023)