Machine learning methods, applications and economic analysis to predict heart failure hospitalisation risk: a scoping review
Background Machine Learning (ML) has been transformative in healthcare, enabling more precise diagnostics, personalised treatment regimens and enhanced patient care. In cardiology, ML plays a crucial role in risk prediction and patient stratification, particularly for heart failure (HF), a conditio...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2025-06-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/15/6/e093495.full |
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