Uploaded October 2022 | Updated September 2026, 2 weeks ago
Explanation of the source data for a machine learning procedure to predict types of atrial fibrillation (paroxysmal vs. persistent) and medium-term patient outcomes under development at UC Davis DataLab, in collaboration with Drs. Uma Srivatsa and Nipavan Chiamvimonvat, UC Davis Health.
Explanation of the source data for a machine learning procedure to predict types of atrial fibrillation (paroxysmal vs. persistent) and medium-term patient outcomes under development at UC Davis DataLab, in collaboration with Drs. Uma Srivatsa and Nipavan Chiamvimonvat, UC Davis Health.










