NDLI: Decision tree discovery for the diagnosis of type II diabetes

Content Provider	IEEE Xplore Digital Library
Author	Al Jarullah, A.A.
Copyright Year	2011
Description	Author affiliation: Department of Information Systems, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia (Al Jarullah, A.A.)
Abstract	The discovery of knowledge from medical databases is important in order to make effective medical diagnosis. The aim of data mining is to extract knowledge from information stored in database and generate clear and understandable description of patterns. In this study, decision tree method was used to predict patients with developing diabetes. The dataset used is the Pima Indians Diabetes Data Set, which collects the information of patients with and without developing diabetes. The study goes through two phases. The first phase is data preprocessing including attribute identification and selection, handling missing values, and numerical discretization. The second phase is a diabetes prediction model construction using the decision tree method. Weka software was used throughout all the phases of this study.
Starting Page	303
Ending Page	307
File Size	439890
Page Count	5
File Format	PDF
ISBN	9781457703119
e-ISBN	9781457703140
DOI	10.1109/INNOVATIONS.2011.5893838
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-25
Publisher Place	United Arab Emirates
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Databases Decision Tree data mining Predictive models diagnosis Diabetes Decision trees Data mining diabetes Medical diagnostic imaging Sugar
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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