Learning Conditional Probabilities for Dynamic Influence Structures in Medical Decision Models
Cungen Cao, Tze-Yun Leong · Europe PMC (PubMed Central) · 1997
Based on the DynaMoL (a Dynamic decision Modeling Language) framework, we examine the critical issues in automated learning of numerical parameters from large medical databases; present a Bayesian method for learning conditional probabilities from data; analyze how to elicit prior probabilities from the domain expert; and examine several important issues on pre-processing raw data for application in dynamic decision modeling.