Predictive Modeling of Heart Failure Outcomes Using <scp>ECG</scp> Monitoring Indicators and Machine Learning
An RF model leveraging ECG features demonstrated excellent performance for HF risk prediction and highlighted key physiologic markers. Future work should integrate comorbidity profiles and detailed biochemical data to further enhance clinical applicability.
Authors
- Jia Liu (ORCID: https://orcid.org/0000-0001-8028-4506)
- Dan Zhu (ORCID: https://orcid.org/0000-0003-4116-4055)
- Xiaoliang Chen
- Lingzhi Deng
Institutions
- Chenzhou First People's Hospital (CN)
Publication Details
- Journal
- Annals of Noninvasive Electrocardiology
- Published
- 2025-06-27
- DOI
- https://doi.org/10.1111/anec.70097
- Citations
- 3
- Primary Topic
- Heart Failure Treatment and Management
- Type
- article
- Field-Weighted Citation Impact
- 4.16