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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 5, 2019
Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical DataAndrew L Beam, Benjamin Kompa, Allen Schmaltz, et al.NPJ Digital Medicine|January 6, 2021
Second opinion needed: communicating uncertainty in medical machine learningBenjamin Kompa, Jasper Snoek, Andrew L BeamDose-Response : a Publication of International Hormesis Society|October 21, 2011
Optimization of nonlinear dose- and concentration-response models utilizing evolutionary computationAndrew L Beam, Alison A Motsinger-ReifEntropy (Basel, Switzerland)|December 24, 2021
Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification ProceduresBenjamin Kompa, Jasper Snoek, Andrew L BeamAutism Research : Official Journal of the International Society for Autism Research|November 1, 2017
Auditory brainstem response in infants and children with autism spectrum disorder: A meta-analysis of wave VOren Miron, Andrew L Beam, Isaac S KohaneBMC Bioinformatics|November 22, 2014
Bayesian neural networks for detecting epistasis in genetic association studiesAndrew L Beam, Alison Motsinger-Reif, Jon DoyleThe Lancet. Digital Health|October 29, 2021
The false hope of current approaches to explainable artificial intelligence in health careMarzyeh Ghassemi, Luke Oakden-Rayner, Andrew L BeamBiodata Mining|February 19, 2015
An investigation of gene-gene interactions in dose-response studies with Bayesian nonparametricsAndrew L Beam, Alison A Motsinger-Reif, Jon DoyleJournal of Perinatology : Official Journal of the California Perinatal Association|July 13, 2023
Artificial intelligence in the neonatal intensive care unit: the time is nowKristyn Beam, Puneet Sharma, Phil Levy, et al.Nature Biomedical Engineering|April 25, 2019
Artificial intelligence in healthcareKun-Hsing Yu, Andrew L Beam, Isaac S KohanePageof 4