Brihat Sharma

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 12

Top Topics

Diagnostic Reasoning

Natural Language Processing

Influence Diagrams

Electronic Medical Record

Top Venues

J. Am. Medical Informatics Assoc.

BMC Medical Informatics Decis. Mak.

Publications

Brihat Sharma, Yanjun Gao, Timothy A. Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach
Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. CoRR (2023)
Brihat Sharma, Yanjun Gao, Timothy A. Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach
Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. ClinicalNLP@ACL (2023)
Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, John R. Caskey, Brihat Sharma, Matthew M. Churpek, Majid Afshar
DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing. J. Biomed. Informatics 138 (2023)
Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, John Caskey, Brihat Sharma, Matthew M. Churpek, Majid Afshar
DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing. CoRR (2022)
Brihat Sharma, Dmitriy Dligach, Hale Thomson, Matthew M. Churpek, Niranjan S. Karnik, Majid Afshar
A multi-label classifier to screen different types of substance misuse in hospitalized patients. AMIA (2021)
Hale M. Thompson, Brihat Sharma, Sameer Bhalla, Randy Boley, Connor McCluskey, Dmitriy Dligach, Matthew M. Churpek, Niranjan S. Karnik, Majid Afshar
Bias and fairness assessment of a natural language processing opioid misuse classifier: detection and mitigation of electronic health record data disadvantages across racial subgroups. J. Am. Medical Informatics Assoc. 28 (11) (2021)
Daniel To, Cara Joyce, Sujay Kulshrestha, Brihat Sharma, Dmitriy Dligach, Matthew M. Churpek, Majid Afshar
The Addition of United States Census-Tract Data Does Not Improve the Prediction of Substance Misuse. AMIA (2021)
Brihat Sharma, Dmitriy Dligach, Kristin Swope, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce, Majid Afshar
Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients. BMC Medical Informatics Decis. Mak. 20 (1) (2020)
Brihat Sharma, Majid Afshar, Dmitriy Dligach, Robert Kanie, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce
Identification of Latent Subtypes of Patients with Opioid Misuse. AMIA (2019)
Majid Afshar, Dmitriy Dligach, Brihat Sharma, Xiaoyuan Cai, Jason Boyda, Steven Birch, Daniel Valdez, Suzan Zelisko, Cara Joyce, François Modave, Ron Price
Development and application of a high throughput natural language processing architecture to convert all clinical documents in a clinical data warehouse into standardized medical vocabularies. J. Am. Medical Informatics Assoc. 26 (11) (2019)
Amy L. Olex, Tamás Gál, Majid Afshar, Dmitriy Dligach, Niranjan S. Karnik, Travis Oakes, Brihat Sharma, Meng Xie, Bridget T. McInnes, Julian Solway, Abel N. Kho, William Cramer, F. G. Moeller
Untapped Potential of Clinical Text for Opioid Surveillance. AMIA (2019)
Brihat Sharma, Chandra N. Sekharan, Fanyu Zuo
Merkle-Tree Based Approach for Ensuring Integrity of Electronic Medical Records. UEMCON (2018)