| Deep neural networks can predict new-onset atrial fibrillation from the 12-lead ECG and help identify those at risk of atrial fibrillation–related stroke S Raghunath, JM Pfeifer, AE Ulloa-Cerna, A Nemani, T Carbonati, L Jing, ... Circulation 143 (13), 1287-1298, 2021 | 149 | 2021 |
| rECHOmmend: An ECG-Based Machine Learning Approach for Identifying Patients at Increased Risk of Undiagnosed Structural Heart Disease Detectable by Echocardiography AE Ulloa-Cerna, L Jing, JM Pfeifer, S Raghunath, JA Ruhl, DB Rocha, ... Circulation 146 (1), 36-47, 2022 | 40 | 2022 |
| Identifying high-risk comorbidities associated with opioid use patterns using electronic health record prescription data MV Jennings, H Lee, DB Rocha, SB Bianchi, BJ Coombes, RC Crist, ... Complex Psychiatry, 2022 | 5 | 2022 |
| Delivering Monoclonal Antibody Infusions to Novel Outpatient Settings A Minnich, D Rocha, Y Hu, K Boell, GF Burke NEJM Catalyst Innovations in Care Delivery 3 (7), CAT. 21.0463, 2022 | 2 | 2022 |
| Genome-wide association study of treatment resistant depression highlights shared biology with metabolic traits JE Kang, VM Castro, M Ripperger, S Venkatesh, D Burstein, RK Linnér, ... medRxiv, 2022 | 2 | 2022 |
| Machine Learning Can Identify Cardiology Patients With High Future Healthcare Utilization in a Large Regional Health System L Jing, RS Challa, A Ulloa, WC Cauthorn, D Hartzel, J Leader, DB Rocha, ... Circulation 142 (Suppl_3), A13218-A13218, 2020 | | 2020 |
