A Framework for Generating Synthetic Clinical Datasets with Learning Effects to Support Methods Development and Validation. - Sharon E. Davis; Henry Ssemaganda; Jejo Koola; Jialin Mao; Dax M. Westerman; Theodore Speroff; Usha Govindarajulu; Craig Ramsay; Lucila Ohno-Machado; Frederic S. Resnic; Michael E. Matheny (AMIA, 2022)

A Framework for Detecting Medical Device Safety Signals Confounded by Learning Effects Using Machine Learning. - Jejo D. Koola; Jialin Mao; Sharon E. Davis; Henry Ssemaganda; Dax M. Westerman; Lucila Ohno-Machado; Frederic S. Resnic; Michael E. Matheny (AMIA, 2022)

Disentangling and Characterizing Device Safety Signals and Learning Effects. - Henry Ssemaganda; Frederic S. Resnic; Sharon E. Davis; Usha Govindarajulu; Jejo Koola; Jialin Mao; Dax M. Westerman; Theodore Speroff; Craig Ramsay; Art Sedrakyan; Lucila Ohno-Machado; Michael E. Matheny (AMIA, 2022)

A machine learning framework to adjust for learning effects in medical device safety evaluation. - Jejo D. Koola; Karthik Ramesh; Jialin Mao; Minyoung Ahn; Sharon E. Davis; Usha Govindarajulu; Amy Perkins; Dax M. Westerman; Henry Ssemaganda; Theodore Speroff; Lucila Ohno-Machado; Craig Ramsay; et al. (J. Am. Medical Informatics Assoc., 2025)