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Evaluating the Impact of Uncertainty on Risk Prediction: Towards More Robust Prediction Models
Risk prediction models are crucial for assessing the pretest probability of cancer and are applied to stratify patient management strategies. These models are frequently based on multivariate regression analysis, requiring that all risk factors be specified, and do not convey the confidence in their...
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| Gepubliceerd in: | AMIA Annu Symp Proc |
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| Hoofdauteurs: | , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
American Medical Informatics Association
2018
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6371325/ https://ncbi.nlm.nih.gov/pubmed/30815191 |
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