Machine learning methods, applications and economic analysis to predict heart failure hospitalisation risk: a scoping review protocol
Introduction Machine learning (ML) has emerged as a powerful tool for uncovering patterns and generating new information. In cardiology, it has shown promising results in predictive outcomes risk assessment of heart failure (HF) patients, a chronic condition affecting over 64 million individuals glo...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2024-04-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/14/4/e083188.full |