Cargando...
Machine Learning for Treatment Assignment: Improving Individualized Risk Attribution
Clinical studies model the average treatment effect (ATE), but apply this population-level effect to future individuals. Due to recent developments of machine learning algorithms with useful statistical guarantees, we argue instead for modeling the individualized treatment effect (ITE), which has be...
Guardado en:
| Publicado en: | AMIA Annu Symp Proc |
|---|---|
| Autores principales: | , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
American Medical Informatics Association
2015
|
| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4765638/ https://ncbi.nlm.nih.gov/pubmed/26958271 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|