Phyllis M. Thangaraj

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 4

Top Topics

Comparative Analysis

Clinical Trials

Top Venues

npj Digit. Medicine

Publications

Evangelos K. Oikonomou, Phyllis M. Thangaraj, Deepak L. Bhatt, Joseph S. Ross, Lawrence H. Young, Harlan M. Krumholz, Marc A. Suchard, Rohan Khera
An explainable machine learning-based phenomapping strategy for adaptive predictive enrichment in randomized clinical trials. npj Digit. Medicine 6 (2023)
Phyllis M. Thangaraj, Benjamin Kummer, Tal Lorberbaum, Mitchell S. V. Elkind, Nicholas P. Tatonetti
Comparative analysis, applications, and interpretation of electronic health record-based stroke phenotyping methods. BioData Min. 13 (1) (2020)
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, Eugenia Rutenberg, Remi Frazier, Nelson Lee, Sharat Israni, Rick Larsen, Bethany Percha, Li Li, Joel T. Dudley, Nicholas P. Tatonetti, Atul J. Butte
PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model. Bioinform. 35 (21) (2019)
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
Using model classifications as quantitative traits to estimate stroke heritability. AMIA (2018)