A comparative study on the pre-processing and mining of Pima Indian diabetes dataset

Data mining in medical data has successfully converted raw data into useful information. This information helps the medical experts in improving the diagnosis and treatment of diseases. In this paper, we review studied data mining applications applied exclusively on an open source diabetes dataset....

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Main Authors:	Amatul, Zehra, Tuty, Asmawaty, Md Aris, Mohd Aznan
Format:	Conference or Workshop Item
Language:	English
Published:	2013
Subjects:	R Medicine (General) RZ Other systems of medicine
Online Access:	http://irep.iium.edu.my/65988/ http://irep.iium.edu.my/65988/ http://irep.iium.edu.my/65988/1/UMP-%20A%20Comparative%20Study%20on%20the%20pre-processing%20and%20mining%20of%20prima%20Indian%20Diabetes%20Dataset.pdf

id	iium-65988
recordtype	eprints
spelling	iium-659882018-09-04T09:08:40Z http://irep.iium.edu.my/65988/ A comparative study on the pre-processing and mining of Pima Indian diabetes dataset Amatul, Zehra Tuty, Asmawaty Md Aris, Mohd Aznan R Medicine (General) RZ Other systems of medicine Data mining in medical data has successfully converted raw data into useful information. This information helps the medical experts in improving the diagnosis and treatment of diseases. In this paper, we review studied data mining applications applied exclusively on an open source diabetes dataset. Type II Diabetes Mellitus is one of the silent killer diseases worldwide. According to the World Health Organization, 346 million people are suffering from diabetes worldwide. Diagnosis or prediction of diabetes is done through various data mining techniques such as association, classification, clustering and pattern recognition. The study led to the related open issues of identifying the need of a relation between the major factors that lead to the development of diabetes. This is possible by mining patterns found between the independent and dependant variables in the dataset. This paper compares the classification accuracies of non-processed and pre-processed data. The results clearly show that the pre-processed data gives better classification accuracy. 2013-08-29 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/65988/1/UMP-%20A%20Comparative%20Study%20on%20the%20pre-processing%20and%20mining%20of%20prima%20Indian%20Diabetes%20Dataset.pdf Amatul, Zehra and Tuty, Asmawaty and Md Aris, Mohd Aznan (2013) A comparative study on the pre-processing and mining of Pima Indian diabetes dataset. In: 3rd International Conference on Software Engineering & Computer Systems (ICSECS - 2013), 20th-22nd Aug. 2013, Gambang, Kuantan, Pahang. (Unpublished) http://icsecs.ump.edu.my/index.php/en/icsecs13
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	R Medicine (General) RZ Other systems of medicine
spellingShingle	R Medicine (General) RZ Other systems of medicine Amatul, Zehra Tuty, Asmawaty Md Aris, Mohd Aznan A comparative study on the pre-processing and mining of Pima Indian diabetes dataset
description	Data mining in medical data has successfully converted raw data into useful information. This information helps the medical experts in improving the diagnosis and treatment of diseases. In this paper, we review studied data mining applications applied exclusively on an open source diabetes dataset. Type II Diabetes Mellitus is one of the silent killer diseases worldwide. According to the World Health Organization, 346 million people are suffering from diabetes worldwide. Diagnosis or prediction of diabetes is done through various data mining techniques such as association, classification, clustering and pattern recognition. The study led to the related open issues of identifying the need of a relation between the major factors that lead to the development of diabetes. This is possible by mining patterns found between the independent and dependant variables in the dataset. This paper compares the classification accuracies of non-processed and pre-processed data. The results clearly show that the pre-processed data gives better classification accuracy.
format	Conference or Workshop Item
author	Amatul, Zehra Tuty, Asmawaty Md Aris, Mohd Aznan
author_facet	Amatul, Zehra Tuty, Asmawaty Md Aris, Mohd Aznan
author_sort	Amatul, Zehra
title	A comparative study on the pre-processing and mining of Pima Indian diabetes dataset
title_short	A comparative study on the pre-processing and mining of Pima Indian diabetes dataset
title_full	A comparative study on the pre-processing and mining of Pima Indian diabetes dataset
title_fullStr	A comparative study on the pre-processing and mining of Pima Indian diabetes dataset
title_full_unstemmed	A comparative study on the pre-processing and mining of Pima Indian diabetes dataset
title_sort	comparative study on the pre-processing and mining of pima indian diabetes dataset
publishDate	2013
url	http://irep.iium.edu.my/65988/ http://irep.iium.edu.my/65988/ http://irep.iium.edu.my/65988/1/UMP-%20A%20Comparative%20Study%20on%20the%20pre-processing%20and%20mining%20of%20prima%20Indian%20Diabetes%20Dataset.pdf
first_indexed	2023-09-18T21:33:39Z
last_indexed	2023-09-18T21:33:39Z
_version_	1777412676546199552

A comparative study on the pre-processing and mining of Pima Indian diabetes dataset

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