Abstract
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 diagnosis when compared to the "Rule Based Method" and the "Bayesian Network Based Method", respectively.
Keywords
Inference
Computer science
Medical decision making
Influence diagram
Artificial intelligence
Algorithm
Machine learning
Decision tree
Medicine
Subject Areas
Bayesian Modeling and Causal Inference
·Artificial Intelligence ·Physical Sciences
Artificial Intelligence in Healthcare
·Health Information Management ·Health Sciences
Machine Learning in Healthcare
·Artificial Intelligence ·Physical Sciences
Citations by Year
2014: 1
2016: 1
2017: 1
2018: 1
2021: 1
2022: 1
2023: 1
2024: 1
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