Merkle-Tree Based Approach for Ensuring Integrity of Electronic Medical Records. - Brihat Sharma; Chandra N. Sekharan; Fanyu Zuo (UEMCON, 2018)

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; et al. (AMIA, 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 (AMIA, 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)

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)

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 (AMIA, 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 (AMIA, 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)

Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. - Brihat Sharma; Yanjun Gao; Timothy Miller 002; Matthew M. Churpek; Majid Afshar; Dmitriy Dligach (ClinicalNLP@ACL, 2023)

DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing. - Yanjun Gao; Dmitriy Dligach; Timothy Miller 002; John R. Caskey; Brihat Sharma; Matthew M. Churpek; Majid Afshar (J. Biomed. Informatics, 2023)

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)