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Machine Learning Methods for Identifying Atrial Fibrillation Cases and Their Predictors in Patients With Hypertrophic Cardiomyopathy: The HCM-AF-Risk Model


Sep 19, 2021
Moumita Bhattacharya, Dai-Yin Lu, Ioannis Ventoulis, Gabriela V. Greenland, Hulya Yalcin, Yufan Guan, Joseph E. Marine, Jeffrey E. Olgin, Stefan L. Zimmerman, Theodore P. Abraham, M. Roselle Abraham, Hagit Shatkay

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* CJC Open, Volume 3, Issue 6, June 2021, Pages 801-813 

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CathAI: Fully Automated Interpretation of Coronary Angiograms Using Neural Networks


Jun 14, 2021
Robert Avram, Jeffrey E. Olgin, Alvin Wan, Zeeshan Ahmed, Louis Verreault-Julien, Sean Abreau, Derek Wan, Joseph E. Gonzalez, Derek Y. So, Krishan Soni, Geoffrey H. Tison

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* 62 pages, 3 main figures, 2 main tables 

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Using Multitask Learning to Improve 12-Lead Electrocardiogram Classification


Dec 04, 2018
J. Weston Hughes, Taylor Sittler, Anthony D. Joseph, Jeffrey E. Olgin, Joseph E. Gonzalez, Geoffrey H. Tison

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* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

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DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction


Feb 07, 2018
Brandon Ballinger, Johnson Hsieh, Avesh Singh, Nimit Sohoni, Jack Wang, Geoffrey H. Tison, Gregory M. Marcus, Jose M. Sanchez, Carol Maguire, Jeffrey E. Olgin, Mark J. Pletcher

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* Presented at AAAI 2018 

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