Hybrid Algorithm for Detecting Diabetes

Journal Title: International Research Journal of Applied and Basic Sciences - Year 2014, Vol 8, Issue 12

Abstract

Today's, we can use of new technology tools for restoring and saving data in huge size and so we need a new science for searching in these huge data source and finding useful and necessary results in them. Data mining is a science that is searched automatically in huge data for finding models and association rule in them where other statistical analysis can’t do that. The medical science is one of sciences that need to use of these tools for analyzing their huge data and creating predictive model with new computation ways. The purpose of this research is review of rules and application area of predictive data mining in medical sciences and presenting a frame work for creating, evaluation and exploitation of data mining models in this. In this paper a new method is presented for the diagnosis of diabetes. . Today's foremost practitioners relying on their experience and knowledge, they realize the disease is complex and time consuming experiments. However, human error is inevitable. In this article we want to use the combination of artificial intelligent techniques such as feature selection, decision tree to select the best possible conditions ,KNN ,Neural Network , and education to estimate adaptability learn Machine, in order to identify the diagnosis of uses. This method is compared with conventional approaches one hand and on the other hand, synthetic methods in the references is useful in itself. The present study compared to older methods and meta-heuristic model involving a combination of KNN and neural networks and decision trees and feature selection in the diagnosis of diabetes is based on the laws and properties of the compound.

Authors and Affiliations

Amir Amiri| Department of Computer Engineering, Malayer branch, Islamic Azad University, Malayer, Iran; Email: amiryamir57@gmail.com, Vahid Rafe| Department of computer engineering, Faculty of Engineering, Arak, University, Arak 38156-8-8349, Iran

Keywords

Related Articles

New Types of Two and Three-Soliton Solutions of The Vector Non-linear Schr?dinger Equation With Mixed Boundary Conditions

In this paper new types of two and three-soliton solutions of the vector non-linear Schrödinger equation with mixed boundary condition by use of the algebraic geometric method of delinearization are constructed. Asymptot...

CONSISTENT VEHICLES TRACKING BY USING A COOPERATIVE DISTRIBUTED VIDEO SURVEILLANCESYSTEM

This paper proposes a method of consistent vehicles tracking using a distributed cooperative multi-camera surveillance system.Vehicles’ matching in views of different cameras is a fundamental issue for increasing the acc...

Evaluate relationship between management accounting and control practices in lean system

As firms progress in their implementation of lean manufacturing, many are recognizing the need for a supportive management accounting and control system. This research provides some of the first empirical evidence of the...

Effect of salinity originated from Urmia lake water on some morpho-physiological traits in Zea mays L

Effect of different levels of water for the Lake urmia on some morphological and physiological traits of maize in greenhouse conditions, a factorial experiment in randomized complete block design with 7 replications. 4 l...

Information Disclosure in the Iranian Capital Market

Disclosure is an encompassing term in accounting field and almost involves all of the financial reporting processes. One of the first principles of accounting is the disclosure of all the important facts regarding the ev...

Download PDF file
  • EP ID EP6880
  • DOI -
  • Views 367
  • Downloads 13

How To Cite

Amir Amiri, Vahid Rafe (2014). Hybrid Algorithm for Detecting Diabetes. International Research Journal of Applied and Basic Sciences, 8(12), 2347-2353. https://europub.co.uk/articles/-A-6880