Development and validation of a machine learning model for in-hospital mortality prediction in children under 5 years with heart failure
This study presents a reliable, interpretable machine learning model for predicting in-hospital mortality in young children with heart failure. It holds promise for early risk stratification and timely intervention, potentially improving outcomes in this high-risk population.
Authors
- Huasheng Lv (ORCID: https://orcid.org/0000-0002-0788-0384)
- You Chen (ORCID: https://orcid.org/0000-0002-4916-0334)
- Tingting Yuan (ORCID: https://orcid.org/0000-0003-4942-6646)
- Fengyu Sun
- Haoliang Shen
- Lazaiyi Baheti
Institutions
- Xinjiang Medical University (CN)
- First Affiliated Hospital of Xinjiang Medical University (CN)
Publication Details
- Journal
- Frontiers in Pediatrics
- Published
- 2025-05-26
- DOI
- https://doi.org/10.3389/fped.2025.1608334
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Xinjiang