A review and comparison of classification algorithms for medical decision making.
Within a health care setting, it is often desirable from both clinical and operational perspective to capture the uncertainty and variability amongst a patient population, for example to predict individual patient outcomes, risks or resource needs. Homogeneity brings the benefits of increased certai...
| Publicado en: | Health Policy Vol. 71; no. 3; pp. 315 - 332 |
|---|---|
| Autor principal: | |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Elsevier B.V.
Mar2005
|
| Acceso en línea: | Ver este registro en EBSCOhost |