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Optimal Tuning of Random Survival Forest Hyperparameter with an Application to Liver Disease
BACKGROUND: Random Forest (RF) is a technique that optimises predictive accuracy by fitting an ensemble of trees to stabilise model estimates. The RF techniques were adapted into survival analysis to model the survival of patients with liver disease in order to identify biomarkers that are highly in...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Penerbit Universiti Sains Malaysia
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910370/ https://www.ncbi.nlm.nih.gov/pubmed/36818901 http://dx.doi.org/10.21315/mjms2022.29.6.7 |