Work

Bridging accuracy and explainability in AI-ECG: A multi-stage hyperparameter tuning framework for reinforcement learning–based random forests

Year: 2026

Type: article

Source: Journal of Electrocardiology

DOI: 10.1016/j.jelectrocard.2026.154453

Authors: Karam Daoud, Rui Qi Ji, Nathan T. Riek, Murat Akcakaya, Ervin Sejdic, Tanmay Gokhale, Salah Al-Zaiti

Institutions: Old Dominion University, University of Toronto, University of Rochester, University of Pittsburgh, North York General Hospital, University of Rochester Medicine

Language: English

Topic: ECG Monitoring and Analysis

Subfield: Cardiology and Cardiovascular Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Heart, Lung, and Blood Institute

Award: Electrocardiographic Detection of Non-ST Elevation Myocardial Events for Accelerated Classification of Chest Pain Encounters (ECG-SMART 2)

OpenAlex ID: W7212392326

FWCI:

Cites: 19

Cited by:

Related to: 10