Cargando…
A Bayesian approach to predictive uncertainty in chemotherapy patients at risk of acute care utilization
BACKGROUND: Machine learning (ML) predictions are becoming increasingly integrated into medical practice. One commonly used method, ℓ(1)-penalised logistic regression (LASSO), can estimate patient risk for disease outcomes but is limited by only providing point estimates. Instead, Bayesian logistic...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10250586/ https://www.ncbi.nlm.nih.gov/pubmed/37269570 http://dx.doi.org/10.1016/j.ebiom.2023.104632 |