COMBINING MULTIPLE INTELLIGENT SYSTEM TO IDENTIFY THE DIABETES DISEASE
Publish place: کنفرانس بین المللی مدیریت و حسابداری
Publish Year: 1395
Type: Conference paper
Language: English
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Document National Code:
MANAGECONF01_112
Index date: 24 January 2017
COMBINING MULTIPLE INTELLIGENT SYSTEM TO IDENTIFY THE DIABETES DISEASE abstract
The purpose of this study is to investigate the role and the scope of the application of data mining predictive science and medicine in a bid to build, evaluate, and the exploitation of data mining models in this regard. In this studyto examine the related works in the field of prediction data mining in medicine , who recently published and is trying tohighlight important issues and summarize methods and algorithms applied in the form of a series of training . The purpose of this study is to investigate the laws and the application of predictive science in the fields of medicine andprovide a framework for work, and the exploitation of data mining models in the science. In this paper, a new approach to detect diabetes
COMBINING MULTIPLE INTELLIGENT SYSTEM TO IDENTIFY THE DIABETES DISEASE Keywords:
COMBINING MULTIPLE INTELLIGENT SYSTEM TO IDENTIFY THE DIABETES DISEASE authors
Marzieh karimimagham
Department of Management Information Technology, Electronic Branch, Islamic Azad university, Tehran, Iran.
Mohammad Ehsanifar
Department of Industrial Engineering, Islamic Azad University, Arak Branch, Arak, Iran.