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Andrew L Beam

Showing results (1-10 of 48) with videos related to

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The Spine Journal : Official Journal of the North American Spine Society|August 29, 2020
Sharpening the resolution on data matters: a brief roadmap for understanding deep learning for medical dataAllen Schmaltz, Andrew L Beam
JAMA|March 14, 2018
Big Data and Machine Learning in Health CareAndrew L Beam, Isaac S Kohane
JAMA|November 30, 2016
Translating Artificial Intelligence Into Clinical CareAndrew L Beam, Isaac S Kohane
NPJ Digital Medicine|January 6, 2021
Second opinion needed: communicating uncertainty in medical machine learningBenjamin Kompa, Jasper Snoek, Andrew L Beam
Dose-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-Reif
Entropy (Basel, Switzerland)|December 24, 2021
Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification ProceduresBenjamin Kompa, Jasper Snoek, Andrew L Beam
Circulation. Cardiovascular Quality and Outcomes|October 20, 2020
Machine Learning in Clinical Journals: Moving From Inscrutable to InformativeKarandeep Singh, Andrew L Beam, Brahmajee K Nallamothu
JAMA|January 7, 2020
Challenges to the Reproducibility of Machine Learning Models in Health CareAndrew L Beam, Arjun K Manrai, Marzyeh Ghassemi
Autism 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 Kohane
BMC Bioinformatics|November 22, 2014
Bayesian neural networks for detecting epistasis in genetic association studiesAndrew L Beam, Alison Motsinger-Reif, Jon Doyle
Pageof 5

Showing results (1-10 of 48) with videos related to

Sort By:
Pageof 5
The Spine Journal : Official Journal of the North American Spine Society|August 29, 2020
Sharpening the resolution on data matters: a brief roadmap for understanding deep learning for medical dataAllen Schmaltz, Andrew L Beam
JAMA|March 14, 2018
Big Data and Machine Learning in Health CareAndrew L Beam, Isaac S Kohane
JAMA|November 30, 2016
Translating Artificial Intelligence Into Clinical CareAndrew L Beam, Isaac S Kohane
NPJ Digital Medicine|January 6, 2021
Second opinion needed: communicating uncertainty in medical machine learningBenjamin Kompa, Jasper Snoek, Andrew L Beam
Dose-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-Reif
Entropy (Basel, Switzerland)|December 24, 2021
Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification ProceduresBenjamin Kompa, Jasper Snoek, Andrew L Beam
Circulation. Cardiovascular Quality and Outcomes|October 20, 2020
Machine Learning in Clinical Journals: Moving From Inscrutable to InformativeKarandeep Singh, Andrew L Beam, Brahmajee K Nallamothu
JAMA|January 7, 2020
Challenges to the Reproducibility of Machine Learning Models in Health CareAndrew L Beam, Arjun K Manrai, Marzyeh Ghassemi
Autism 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 Kohane
BMC Bioinformatics|November 22, 2014
Bayesian neural networks for detecting epistasis in genetic association studiesAndrew L Beam, Alison Motsinger-Reif, Jon Doyle
Pageof 5