Constructing influence views from data to support dynamic decision making in medicine

• Main Authors: Qi X., Tze-Yun LEONG
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2001
• Subjects: Bayesian network; Branch and Bound; Dynamic Decision Making; Influence View; Minimal Description Length Principle; Computer Sciences; Health Information Technology
• Online Access: https://ink.library.smu.edu.sg/sis_research/3008
• Institution: Singapore Management University

A dynamic decision model can facilitate the complicated decision-making process in medicine, in which both time and uncertainty are explicitly considered. In this paper, we address the problem of automatic construction of a dynamic decision model from a large medical database. Within the DynaMoL (a...