Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial. - Hoyt Burdick; Carson K. Lam; Samson Mataraso; Anna Siefkas; Gregory Braden; R. Phillip Dellinger; Andrea McCoy; Jean-Louis Vincent; Abigail Green-Saxena; Gina Barnes; Jana L. Hoffman; Jacob S. Calvert; et al. (Comput. Biol. Medicine, 2020)

Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction. - Keyvan Rahmani; Rahul Thapa; Pei-Ling Tsou; Satish Casie Chetty; Gina Barnes; Carson K. Lam; Chak Foon Tso (Int. J. Medical Informatics, 2023)

Machine learning determination of applied behavioral analysis treatment plan type. - Jenish Maharjan; Anurag Garikipati; Frank A. Dinenno; Madalina G. Ciobanu; Gina Barnes; Ella Browning; Jenna DeCurzio; Qingqing Mao; Ritankar Das (Brain Informatics, 2023)

OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models. - Jenish Maharjan; Anurag Garikipati; Navan Preet Singh; Leo Cyrus; Mayank Sharma; Madalina G. Ciobanu; Gina Barnes; Rahul Thapa; Qingqing Mao; Ritankar Das (CoRR, 2024)