Phyllis M. Thangaraj

According to our database, Phyllis M. Thangaraj authored at least 4 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

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

2020

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

2019

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, Eugenia Rutenberg, Remi Frazier, Nelson Lee, Sharat Israni, Rick Larsen, Bethany Percha, Li Li, Joel T. Dudley, Nicholas P. Tatonetti, Atul J. Butte

Bioinform., 2019

2018

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

Proceedings of the AMIA 2018, 2018