Pulse wave time series unsupervised clustering with importance ratios for heart failure subgroups detection
Heart failure (HF) is a significant global public health issue, and accurate diagnosis and effective management are crucial for improving patient outcomes. This study aims to identify potential HF patient subgroups based on the pulse wave time series via unsupervised clustering algorithms and to qua...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
The Japan Society of Mechanical Engineers
2024-12-01
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| Series: | Journal of Biomechanical Science and Engineering |
| Subjects: | |
| Online Access: | https://www.jstage.jst.go.jp/article/jbse/20/2/20_24-00325/_pdf/-char/en |
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