PROVIDES A SOLUTION DATA MINING COMBINATION BASED ON DEMPSTER– SHAFER THEORY FOR DIAGNOSIS OF DIABETES

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dalkani Saeed; sadeghzadeh Mehdi

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Seminar Paper

Paper Information

Seminar: CONFERENCE ON RECENT RESEARCH IN SCIENCE AND TECHNOLOGY
Year:2020 | Issue:19

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Title

PROVIDES A SOLUTION DATA MINING COMBINATION BASED ON DEMPSTER– SHAFER THEORY FOR DIAGNOSIS OF DIABETES

Author(s)

dalkani Saeed | sadeghzadeh Mehdi

Keywords

DIABETES

DIAGNOSIS

GENETIC ALGORITHM

NEURAL NETWORK

DEMPSTER-SHAFER THEORY

Abstract

TODAY, PHYSICIANS MOSTLY DIAGNOSE DIABETES BY RELYING ON THEIR EXPERIENCES AND KNOWLEDGE AND COMPLICATED AND TIME-CONSUMING EXPERIMENTS. NONETHELESS, HUMAN ERRORS ARE INEVITABLE. A HYBRID METHOD IS PRESENTED IN THE CURRENT STUDY TO DIAGNOSE DIABETES BECAUSE ONE OF THE MAIN PROBLEMS REGARDING THIS DISEASE IS LACK OF TIMELY AND CORRECT DIAGNOSIS. THE PRESENT STUDY AIMS AT PRESENTING A MECHANISM TO IMPROVE THE ACCURACY OF DIABETES DIAGNOSIS. THIS MECHANISM IS CONDUCTED BASED ON THE PID DATASET ANALYSIS USING DATA MINING SYSTEMS. ACCORDING TO STUDIES, IT IS PROVED THAT HYBRID LEARNING SYSTEMS ARE MORE ACCURATE AND OUTPERFORM SIMPLE SYSTEMS. THEREFORE, A HYBRID DATA MINING SYSTEM BASED ON DEMPSTER-SHAFER WAS PRESENTED IN THIS STUDY TO DIAGNOSE DIABETES, IN WHICH PROPERTY SELECTION IS DONE BASED ON PEARSON’ S CORRELATION AND USING THE GENETIC ALGORITHM. COMMON CLASSIFICATION METHODS SUCH AS THE NEURAL NETWORK, DECISION TREE AND SUPPORT VECTOR MACHINE WERE USED AS BASIC LEARNING SYSTEMS AND DEMPSTER-SHAFER THEORY WAS USED TO COMBINE THE CLASSIFICATIONS. ACCORDING TO THE EXPERIMENTS, THE PROPOSED METHOD OUTPERFORMED THE BASIC SYSTEMS AND DIAGNOSED DIABETIC PATIENTS AT A HIGHER ACCURACY. THE DATASET ACCURACY REACHED 89. 58% FROM 87. 24%.

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APA: Copy

dalkani, Saeed, & sadeghzadeh, Mehdi. (2020). PROVIDES A SOLUTION DATA MINING COMBINATION BASED ON DEMPSTER– SHAFER THEORY FOR DIAGNOSIS OF DIABETES. INTERNATIONAL CONFERENCE ON RECENT RESEARCH IN SCIENCE AND TECHNOLOGY. SID. https://sid.ir/paper/949486/en

Vancouver: Copy

dalkani Saeed, sadeghzadeh Mehdi. PROVIDES A SOLUTION DATA MINING COMBINATION BASED ON DEMPSTER– SHAFER THEORY FOR DIAGNOSIS OF DIABETES. 2020. Available from: https://sid.ir/paper/949486/en

IEEE: Copy

Saeed dalkani, and Mehdi sadeghzadeh, “PROVIDES A SOLUTION DATA MINING COMBINATION BASED ON DEMPSTER– SHAFER THEORY FOR DIAGNOSIS OF DIABETES,” presented at the INTERNATIONAL CONFERENCE ON RECENT RESEARCH IN SCIENCE AND TECHNOLOGY. 2020, [Online]. Available: https://sid.ir/paper/949486/en

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