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A comparative study of machine learning algorithms for predicting acute kidney injury after liver cancer resection
OBJECTIVE: Machine learning methods may have better or comparable predictive ability than traditional analysis. We explore machine learning methods to predict the likelihood of acute kidney injury after liver cancer resection. METHODS: This is a secondary analysis cohort study. We reviewed data from...
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| Publicado no: | PeerJ |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
PeerJ Inc.
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7047869/ https://ncbi.nlm.nih.gov/pubmed/32140301 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj.8583 |
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