Supporting multi-level multi-perspective dynamic decision making in medicine.

• Main Authors: Sundaresh, S., Tze-Yun LEONG, Haddawy, P.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 1999
• Subjects: Colorectal tumor; Decision support system; Human; Technique; Health Information Technology; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/3042
• Institution: Singapore Management University

Most medical decision problems are exceedingly complex and contain a large number of variables. Abstraction facilitates the process of building a decision model by allowing a model builder to work at a level of detail that he is most comfortable with; it is also useful in time-critical situations or when there is insufficient data to support complete specification of probabilities of the uncertain events. In this paper, we identify and formalize abstraction and refinement operations commonly used in model construction. We illustrate the use of these mechanisms with an example on the follow-up management of colorectal cancer patients after surgery.