Brihat Sharma

According to our database, Brihat Sharma authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Transatlantic transferability and replicability of machine-learning algorithms to predict mental health crises.

João Guerreiro, Roger Garriga, Toni Lozano Bagén, Brihat Sharma, Niranjan S. Karnik, Aleksandar Matic

npj Digit. Medicine, 2024

2023

DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing.

Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, John R. Caskey, Brihat Sharma, Matthew M. Churpek, Majid Afshar

J. Biomed. Informatics, February, 2023

Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning.

Brihat Sharma, Yanjun Gao, Timothy A. Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2021

Bias and fairness assessment of a natural language processing opioid misuse classifier: detection and mitigation of electronic health record data disadvantages across racial subgroups.

Hale M. Thompson, Brihat Sharma, Sameer Bhalla, Randy Boley, Connor McCluskey, Dmitriy Dligach, Matthew M. Churpek, Niranjan S. Karnik, Majid Afshar

J. Am. Medical Informatics Assoc., 2021

The Addition of United States Census-Tract Data Does Not Improve the Prediction of Substance Misuse.

Daniel To, Cara Joyce, Sujay Kulshrestha, Brihat Sharma, Dmitriy Dligach, Matthew M. Churpek, Majid Afshar

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

A multi-label classifier to screen different types of substance misuse in hospitalized patients.

Brihat Sharma, Dmitriy Dligach, Hale Thomson, Matthew M. Churpek, Niranjan S. Karnik, Majid Afshar

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients.

Brihat Sharma, Dmitriy Dligach, Kristin Swope, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce, Majid Afshar

BMC Medical Informatics Decis. Mak., 2020

2019

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.

Majid Afshar, Dmitriy Dligach, Brihat Sharma, Xiaoyuan Cai, Jason Boyda, Steven Birch, Daniel Valdez, Suzan Zelisko, Cara Joyce, François Modave, Ron Price

J. Am. Medical Informatics Assoc., 2019

Identification of Latent Subtypes of Patients with Opioid Misuse.

Brihat Sharma, Majid Afshar, Dmitriy Dligach, Robert Kanie, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce

Proceedings of the AMIA 2019, 2019

Untapped Potential of Clinical Text for Opioid Surveillance.

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

Proceedings of the AMIA 2019, 2019

2018

Merkle-Tree Based Approach for Ensuring Integrity of Electronic Medical Records.

Brihat Sharma, Chandra N. Sekharan, Fanyu Zuo

Proceedings of the 9th IEEE Annual Ubiquitous Computing, 2018