NDLI: Study on Datamining Techinique for Foot Disease Prediction

Content Provider	IEEE Xplore Digital Library
Author	Choi, Jung-Kyu Yoo, Chan Il Kim, Kyung-Ah Won, Yonggwan Kim, Jung-Ja
Copyright Year	2014
Abstract	Datamining is a method to focus on important and meaningful knowledge in large data. Decision tree, one of typical technique in datamining, is process to predict a couple of subgroup from object group by observing relation. The purpose of the study was to find out significant knowledge between two complex disease and symptoms in clinical data of the Foot clinic by decision tree. The first medical examination clinical data of 400 patients diagnosed with complex disease were used for analysis. A dependent variable was composed of four complex disease groups. Independent variables were selected with 14 variables closely related to disease. After object data were divided into training data and test data, C5.0 algorithm was applied for analysis. In conclusion, 13 diagnosis rules were created and major symptom information was verified. On the basis of this study, other decision tree algorithms will be applied to develop additional model and perform comparison analysis for producing an ideal model from now on.
Starting Page	1
Ending Page	4
File Size	275973
Page Count	4
File Format	PDF
ISBN	9781479965410
DOI	10.1109/ICITCS.2014.7021816
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Analytical models Predictive models Educational institutions Decision trees Diseases Foot
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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