Distinct Subtypes of Hepatorenal Syndrome and Associated Outcomes as Identified by Machine Learning Consensus Clustering
Background: The utilization of multi-dimensional patient data to subtype hepatorenal syndrome (HRS) can individualize patient care. Machine learning (ML) consensus clustering may identify HRS subgroups with unique clinical profiles. In this study, we aim to identify clinically meaningful clusters of...
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| Format: | Article |
| Published: |
2023
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| Online Access: | https://repository.li.mahidol.ac.th/handle/123456789/82364 |
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| Institution: | Mahidol University |