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  1. University of Computer Studies, Yangon
  2. Conferences

Analyzing Chest Pain Cases Using Forward Chaining System

http://hdl.handle.net/20.500.12678/0000003497
http://hdl.handle.net/20.500.12678/0000003497
2413b1b5-f03c-4e13-abbc-8128a3a7f8a3
3756c27f-bce1-4564-b4c9-d9dd7a92ee19
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psc2010paper psc2010paper (38).pdf (374 Kb)
Publication type
Article
Upload type
Publication
Title
Title Analyzing Chest Pain Cases Using Forward Chaining System
Language en
Publication date 2010-12-16
Authors
Ko, Su Linn
Aye, Hnin Hnin
Description
A large number of expert systems require the useof forward chaining or data driven inference. Rulebasedsystems are really only feasible for problemsfor which any and all knowledge in the problem areacan be written in the form of IF-THEN rules. In thispaper, Forward Chaining Reasoning Method is usedto diagnose chest pain cases that can be caused bywhether heart, lungs or gastrointestinal diseases. Inour system, chest pain symptoms, signs andlaboratory investigations are given as inputs, and itwill run as data-driven process and find the goal bydepth first search and make decision among ninediseases. Firstly, the causes of diseases (heart, lungsor gastro intestine) are analyzed by applyingForward Chaining Method to discriminate theunderlying causes of chest pain. At last, the severity(stage) of diseases can be defined by using Rule-Based System.
Keywords
Artificial Intelligence (AI), Rule-based system, Forward chaining method, Chest pain cases
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/1241
Journal articles
Fifth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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