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...
| Published in: | Studies in Health Technology & Informatics Vol. 290; pp. 248 - 253 |
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| Main Authors: | , , |
| Format: | equations & formulas tables/charts Journal Article |
| Published: |
Sage Publications Inc.
2022
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| Online Access: | View this record in EBSCOhost |