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Kyaukse University
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Mohnyin University
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Myanmar Institute of Information Technology
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Myanmar Maritime University
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National Management Degree College
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Naypyitaw State Academy
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Sagaing University
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Sagaing University of Education
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Taunggyi University
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Technological University, Hmawbi
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Technological University (Kyaukse)
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Technological University Mandalay
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University of Computer Studies, Mandalay
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University of Computer Studies, Meikhtila
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University of Computer Studies, Taungoo
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University of Computer Studies, Yangon
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University of Dental Medicine Mandalay
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University of Dental Medicine, Yangon
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University of Information Technology
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University of Mandalay
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University of Medicine 1
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University of Medicine Mandalay
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University of Public Health, Yangon
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West Yangon University
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Yadanabon University
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Yangon Technological University
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Yangon University of Distance Education
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Yangon University of Economics
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Yangon University of Education
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Yangon University of Foreign Languages
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Yezin Agricultural University
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New Index
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Item
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Agent based Enterological Disease Diagnosis System
http://hdl.handle.net/20.500.12678/0000004015
http://hdl.handle.net/20.500.12678/0000004015dce682c4-bfd2-4e6b-855f-f05e8badbdb2
b1704bab-fbb5-4012-8628-0ea2c0086f2f
Name / File | License | Actions |
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Publication type | ||||||
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Article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Agent based Enterological Disease Diagnosis System | |||||
Language | en | |||||
Publication date | 2009-12-30 | |||||
Authors | ||||||
Oo, Kyaw Khaing | ||||||
Description | ||||||
Decision tree learning algorithm is rules for classifying data using attributes and has been successfully used in decision support systems in capturing knowledge. The main task performed in this paper is using inductive methods to the given values of attributes of object to determine appropriate classification according to decision tree rules. Decision tree is mainly used for classification purposes. Decision tree is a classifier in the form of a tree structure. Rules can be easily extracted from the decision tree. This system acquires knowledge from the domain expert who has the special knowledge. System receives symptoms from the users and decides related disease. During these operations, this system uses agents capabilities. Agent can do different services: classification and testing. This system is used the symptoms to classify the disease with the help of ID3 algorithm. It will provide the accurate result to patients by combining the Lab results. | ||||||
Keywords | ||||||
Enterological Disease, Expert System, Decision Tree Induction, ID3 | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/1726 | |||||
Journal articles | ||||||
Fourth Local Conference on Parallel and Soft Computing | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |