November 25, 2019

New Papers: Remote Retention in Digital Health Studies, Machine Learning, Reproducible Benchmarking

New Papers: Remote Retention in Digital Health Studies, Machine Learning, Reproducible Benchmarking

Detecting the impact of subject characteristics on machine learning-based diagnostic applications

Journal: NPJ Digital Medicine

Authors: Elias Chaibub Neto, Abhishek Pratap, Thanneer M. Perumal, Meghasyam Tummalacherla, Phil Snyder, Brian M. Bot, Andrew D. Trister, Stephen H. Friend, Lara Mangravite and Larsson Omberg

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Indicators of retention in remote digital health studies: A cross-study evaluation of 100,000 participants

Preprint: arXiv:1910.01165 [stat.AP]

Authors: Abhishek Pratap, Elias Chaibub Neto, Phil Snyder, Carl Stepnowsky, Noémie Elhadad, Daniel Grant, Matthew H. Mohebbi, Sean Mooney, Christine Suver, John Wilbanks, Lara Mangravite, Patrick Heagerty, Pat Arean, Larsson Omberg

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Reproducible biomedical benchmarking in the cloud: lessons from crowd-sourced data challenges

Journal: Genome Biology

Authors: Kyle Ellrott, Alex Buchanan, Allison Creason, Michael Mason, Thomas Schaffter, Bruce Hoff, James Eddy, John M. Chilton, Thomas Yu, Joshua M. Stuart, Julio Saez-Rodriguez, Gustavo Stolovitzky, Paul C. Boutros, Justin Guinney

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