COMPARISON OF THREE DATA MINING MODELS FOR PREDICTING DIABETES BY RISK FACTORS

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SHAKERI MOHAMMAD TAGHI; ESMAILY HABIBOLLAH; Rasoulinejad Sadegh

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Seminar Paper

Paper Information

Seminar: GRADUATE CONFERENCE
Year:2016 | Issue:6

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Title

COMPARISON OF THREE DATA MINING MODELS FOR PREDICTING DIABETES BY RISK FACTORS

Author(s)

SHAKERI MOHAMMAD TAGHI | ESMAILY HABIBOLLAH | Rasoulinejad Sadegh

Keywords

DATA MINING

LOGISTIC REGRESSION

SUPPORT VECTOR MACHINES

NEURAL NETWORKS

DIABETES

Abstract

INTRODUCTION: DIABETES IS THE MOST COMMON DISEASES CAUSED BY METABOLIC DISORDER AND THE LEADING CAUSE OF DEATH IN WESTERN SOCIETIES. THE PATHOGENESIS OF THIS COMPLICATION IS VERY HIGH BOTH IN TERMS OF MEDICAL COSTS AND DISABILITY AND IT IS ONE OF THE MAJOR ISSUES IN HUMAN HEALTH. ONE OF THE MOST EFFECTIVE MEASURES TO PREVENT THIS DISEASE IS TO PREDICT DISEASE RISK IN SUSCEPTIBLE HEALTHY PEOPLE. GIVEN THE APPLICATION OF DATA MINING METHODS AND THEIR ABILITY IN MATTERS OF CLASSIFICATION, NOWADAYS THESE METHODS ARE USED IN VARIOUS FIELDS. THEREFORE, IN THIS STUDY IT HAS BEEN ATTEMPTED TO ADDRESS THE DATA MINING METHODS TO PREDICT THIS DISEASE...

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APA: Copy

SHAKERI, MOHAMMAD TAGHI, ESMAILY, HABIBOLLAH, & Rasoulinejad, Sadegh. (2016). COMPARISON OF THREE DATA MINING MODELS FOR PREDICTING DIABETES BY RISK FACTORS. GRADUATE CONFERENCE. SID. https://sid.ir/paper/929501/en

Vancouver: Copy

SHAKERI MOHAMMAD TAGHI, ESMAILY HABIBOLLAH, Rasoulinejad Sadegh. COMPARISON OF THREE DATA MINING MODELS FOR PREDICTING DIABETES BY RISK FACTORS. 2016. Available from: https://sid.ir/paper/929501/en

IEEE: Copy

MOHAMMAD TAGHI SHAKERI, HABIBOLLAH ESMAILY, and Sadegh Rasoulinejad, “COMPARISON OF THREE DATA MINING MODELS FOR PREDICTING DIABETES BY RISK FACTORS,” presented at the GRADUATE CONFERENCE. 2016, [Online]. Available: https://sid.ir/paper/929501/en

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