Brihat Sharma

13 papers Misc 4Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
Transatlantic transferability and replicability of machine-learning algorithms to predict mental health crises.
npj Digit. Medicine
João Guerreiro, Roger Garriga, Toni Lozano Bagén, Brihat Sharma, Niranjan S. Karnik, Aleksandar Matic
2023 J jnl
DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing.
J. Biomed. Informatics
Yanjun Gao, Dmitriy Dligach, Timothy Miller, John R. Caskey, Brihat Sharma, Matthew M. Churpek, Majid Afshar
2023 — conf
Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning.
ClinicalNLP@ACL
Brihat Sharma, Yanjun Gao, Timothy Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach
2023 J jnl
Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning.
CoRR
Brihat Sharma, Yanjun Gao, Timothy Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach
2022 J jnl
DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing.
CoRR
Yanjun Gao, Dmitriy Dligach, Timothy Miller, John R. Caskey, Brihat Sharma, Matthew M. Churpek, Majid Afshar
2021 Misc conf
A multi-label classifier to screen different types of substance misuse in hospitalized patients.
AMIA
Brihat Sharma, Dmitriy Dligach, Hale Thomson, Matthew M. Churpek, Niranjan S. Karnik, Majid Afshar
2021 J jnl
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.
Hale M. Thompson, Brihat Sharma, Sameer Bhalla, Randy Boley, Connor McCluskey, Dmitriy Dligach, Matthew M. Churpek, Niranjan S. Karnik, Majid Afshar
2021 Misc conf
The Addition of United States Census-Tract Data Does Not Improve the Prediction of Substance Misuse.
AMIA
Daniel To, Cara Joyce, Sujay Kulshrestha, Brihat Sharma, Dmitriy Dligach, Matthew M. Churpek, Majid Afshar
2020 J jnl
Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients.
BMC Medical Informatics Decis. Mak.
Brihat Sharma, Dmitriy Dligach, Kristin Swope, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce, Majid Afshar
2019 J jnl
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.
Majid Afshar, Dmitriy Dligach, Brihat Sharma, Xiaoyuan Cai, Jason Boyda, Steven Birch, Daniel Valdez, Suzan Zelisko, Cara Joyce, François Modave, Ron Price
2019 Misc conf
Identification of Latent Subtypes of Patients with Opioid Misuse.
AMIA
Brihat Sharma, Majid Afshar, Dmitriy Dligach, Robert Kanie, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce
2019 Misc conf
Untapped Potential of Clinical Text for Opioid Surveillance.
AMIA
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
2018 — conf
Merkle-Tree Based Approach for Ensuring Integrity of Electronic Medical Records.
UEMCON
Brihat Sharma, Chandra N. Sekharan, Fanyu Zuo