PGMC: a framework for probabilistic graphic model combination

• Main Authors: Jiang, Chang-an, Tze-Yun LEONG, Poh, Kim-Leng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2005
• Subjects: Algorithm; article; Artificial neural network; Bayes theorem; Decision support system; Feasibility study; Heart disease; Human; Statistical model; Computer Sciences; Health Information Technology
• Online Access: https://ink.library.smu.edu.sg/sis_research/3034
• Institution: Singapore Management University

Decision making in biomedicine often involves incorporating new evidences into existing or working models reflecting the decision problems at hand. We propose a new framework that facilitates effective and incremental integration of multiple probabilistic graphical models. The proposed framework aim...