A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine Learning. - Majid Afshar; Cara Joyce; Anthony Oakey; Perry Formanek; Philip Yang; Matthew M. Churpek; Richard S. Cooper; Ron Price; Susan J. Zelisko; Dmitriy Dligach (AMIA, 2018)

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)

Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation. - Majid Afshar; Andrew Phillips; Niranjan S. Karnik; Jeanne Mueller; Daniel To; Richard Gonzalez; Ron Price; Richard S. Cooper; Cara Joyce; Dmitriy Dligach (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)

Bias Assessment and Correction in Machine Learning Algorithms: A Use-Case in a Natural Language Processing Algorithm to Identify Hospitalized Patients with Unhealthy Alcohol Use. - Marissa Borgese; Cara Joyce; Emily E. Anderson; Matthew M. Churpek; 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)

Mitigation of AI adoption bias through an improved autonomous AI system for diabetic retinal disease. - Michael D. Abràmoff; Philip T. Lavin; Julie R. Jakubowski; Barbara A. Blodi; Mia Keeys; Cara Joyce; James C. Folk (npj Digit. Medicine, 2024)