Machine Learning Methods for Identifying Atrial Fibrillation Cases and Their Predictors in Patients With Hypertrophic Cardiomyopathy: The HCM-AF-Risk Model. - 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 (CoRR, 2021)

Identifying Ventricular Arrhythmias and Their Predictors by Applying Machine Learning Methods to Electronic Health Records in Patients With Hypertrophic Cardiomyopathy(HCM-VAr-Risk Model). - Moumita Bhattacharya; Dai-Yin Lu; Shibani M. Kudchadkar; Gabriela Villarreal Greenland; Prasanth Lingamaneni; Celia P. Corona-Villalobos; Yufan Guan; Joseph E. Marine; Jeffrey E. Olgin; Stefan L. Zimmerman; Theodore P. Abraham; Hagit Shatkay; et al. (CoRR, 2021)

Digital twins enable stratification of persistent atrial fibrillation patients for ablation diminishing unnecessary heart damage. - Kensuke Sakata; Carolyna A. P. Yamamoto; Adityo Prakosa; Brock Tice; Syed Yusuf Ali; Shane E. Loeffler; Eugene G. Kholmovski; Sunil Kumar Sinha; Joseph E. Marine; Hugh Calkins; David D. Spragg; Natalia A. Trayanova (npj Digit. Medicine, 2025)