Comparison of different inference algorithms for medical decision making

Comparison of different inference algorithms for medical decision making

A medical diagnosis system (DRCAD), which consists of two sub-modules Bayesian and rule-based inference models, is presented in this study. Three types of tests are conducted to assess the performances of the models producing synthetic data based on the ALARM network. The results indicate that the linear combination of the aforementioned models leads to a 5% and a 30% improvement in medical dia...

Comparison of Decision-Making Methods Comparison of Decision-Making Methods

A comparison is made between the most commonly used decision-making method (AHP), and two methods developed by the authors (APM and CSM). It is shown that the newly developed methods do not change the correlations and types of inequalities between the global priorities of the alternatives when the number of alternatives changes. This differentiates them from the AHP, which does change them. Als...

From Medical Decision-making to Medical-cost-comparative Decision-making.

WHEN A PHYSICIAN GATHERS A PATIENT’S history, runs diagnostic tests and performs an evaluation, he or she is performing medicine’s most fundamental act: medical decision-making. Patient care is all about physicians bringing their education, training and personal experience to bear with a particular patient and his or her particular symptoms, disease or injury. Frequently, the course of treatmen...

Medical Decision Making Simulation Modeling and Health-care Decision Making on Behalf Of: Society for Medical Decision Making

s of Health Care Management Studies were reviewed. From the years 1982 through 1992, the abstracts were reviewed by one of the authors and more than 50 papers from potentially relevant abstracts were obtained and considered for inclusion. The references from the initial collection of articles were also reviewed to identify potentially relevant publications. Simulation is a broad term for a sear...

Medical Decision Making Neural Networks in Clinical Medicine on Behalf Of: Society for Medical Decision Making