A FUZZY EXPERT SYSTEM BASED ON POSITIVE RULES FOR DEPRESSION DIAGNOISIS
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Fuzzy set theory and fuzzy logic are highly suitable mathematical tools for developing intelligent systems in medicine. This paper presents a fuzzy expert system based on positive rules for diagnosing depression types. A knowledge base that includes more than 800 positive rules to determine diagnostic conclusions for 04 types of depression. The expert system has been tested on more than 200 medical records of depressed patients. Test results show the suitable accuracy of the system in diagnosis.
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2017 ◽
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2021 ◽
Vol 7 (73)
(1)
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pp. 77-85
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2020 ◽
Vol 2
(2)
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pp. 189
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2001 ◽
Vol 30
(2)
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pp. 91-132
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