A Novel Personalized Random Forest Algorithm for Clinical Outcome Prediction.
Machine learning algorithms that derive predictive models are useful in predicting patient outcomes under uncertainty. These are often "population" algorithms which optimize a static model to predict well on average for individuals in the population; however, population models may predict poorly for...
| Publicado en: | Studies in Health Technology & Informatics Vol. 290; pp. 248 - 253 |
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| Autores principales: | , , |
| Formato: | equations & formulas tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2022
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| Acceso en línea: | Ver este registro en EBSCOhost |