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Epilepsia|July 17, 2023
Machine learning using multimodal clinical, electroencephalographic, and magnetic resonance imaging data can predict incident depression in adults with epilepsy: A pilot studyGuillermo Delgado-García, Jordan D T Engbers, Samuel Wiebe, et al.Pediatric Rheumatology Online Journal|April 12, 2023
Distinct phenotypes of multisystem inflammatory syndrome in children: a cohort studyThomas Renson, Nils D Forkert, Kimberly Amador, et al.NPJ Digital Medicine|February 15, 2025
Self-supervised identification and elimination of harmful datasets in distributed machine learning for medical image analysisRaissa Souza, Emma A M Stanley, Anthony J Winder, et al.Neurotoxicology|April 13, 2025
Using machine learning to investigate the influence of the prenatal chemical exposome on neurodevelopment of young childrenGillian England-Mason, Sarah J MacEachern, Kimberly Amador, et al.Journal of Neural Engineering|October 9, 2020
Supervised machine learning tools: a tutorial for cliniciansLucas Lo Vercio, Kimberly Amador, Jordan J Bannister, et al.Neurology|May 15, 2024
Risk Factors for Perinatal Arterial Ischemic Stroke: A Machine Learning ApproachRatika Srivastava, Lauran Cole, Kimberly Amador, et al.Pageof 2