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Journal Articles
- 2025
[j2]Balu Bhasuran
, Katharina Schmolly, Yuvraaj Kapoor, Nanditha Lakshmi Jayakumar, Raymond Doan, Jigar Amin, Stephen Meninger, Nathan Cheng, Robert Deering, Karl Anderson, Simon W. Beaven, Bruce Wang, Vivek A. Rudrapatna:
Reducing diagnostic delays in acute hepatic porphyria using health records data and machine learning. J. Am. Medical Informatics Assoc. 32(1): 63-70 (2025)- 2019
- [j1]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): 4515-4518 (2019)
Conference and Workshop Papers
- 2022
- [c2]Madhumita Sushil, Dana Ludwig, Atul J. Butte, Vivek A. Rudrapatna:
Training a Transferrable Clinical Language Model from 75 million Notes. AMIA 2022 - 2021
- [c1]Douglas Arneson, Rohit Vashisht, Vivek A. Rudrapatna, Atul J. Butte:
A Generalizable Framework for Cost-Effectiveness Analysis of Antihypertensive Drugs Leveraging Real-World Evidence. AMIA 2021
Informal and Other Publications
- 2022
- [i1]Madhumita Sushil, Dana Ludwig, Atul J. Butte, Vivek A. Rudrapatna:
Developing a general-purpose clinical language inference model from a large corpus of clinical notes. CoRR abs/2210.06566 (2022)
Coauthor Index
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