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Predictive data mining of chronic diseases using decision tree: A case study of health insurance company in Indonesia

This study aims to identify the potential benefits that data mining can bring to the health sector, using Indonesian Health Insurance company data as case study. The most commonly data mining technique, decision tree, was used to generate the prediction model by visualizing the...

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Main Authors: Qudsi, Dini Hidayatul, Kartiwi, Mira, Saleh, Nurliyana
Format: Article
Language:English
English
Published: Research India Publication 2017
Subjects:
H Social Sciences (General)
T Technology (General)
T10.5 Communication of technical information
T58.5 Information technology
Online Access:http://irep.iium.edu.my/57292/1/ijaerv12n7_34.pdf
http://irep.iium.edu.my/57292/2/57292-Predictive%20Data%20Mining%20of%20Chronic%20Diseases%20Using%20Decision%20Tree_SCOPUS.pdf
http://irep.iium.edu.my/57292/
https://www.ripublication.com/ijaer17/ijaerv12n7_34.pdf
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spelling my.iium.irep.572922017-06-20T07:26:07Z http://irep.iium.edu.my/57292/ Predictive data mining of chronic diseases using decision tree: A case study of health insurance company in Indonesia Qudsi, Dini Hidayatul Kartiwi, Mira Saleh, Nurliyana H Social Sciences (General) T Technology (General) T10.5 Communication of technical information T58.5 Information technology This study aims to identify the potential benefits that data mining can bring to the health sector, using Indonesian Health Insurance company data as case study. The most commonly data mining technique, decision tree, was used to generate the prediction model by visualizing the tree to perform predictive analysis of chronic diseases. All the steps in data mining process have been performed by a data mining tool, named WEKA. Additionally, WEKA also was utilized to evaluate the prediction performance by measuring the accuracy, the specificity and the sensitivity. Among the result found in this study shows some factors that the health insurance can take into account when predicting the treatment cost of a patient. Research India Publication 2017 Article REM application/pdf en http://irep.iium.edu.my/57292/1/ijaerv12n7_34.pdf application/pdf en http://irep.iium.edu.my/57292/2/57292-Predictive%20Data%20Mining%20of%20Chronic%20Diseases%20Using%20Decision%20Tree_SCOPUS.pdf Qudsi, Dini Hidayatul and Kartiwi, Mira and Saleh, Nurliyana (2017) Predictive data mining of chronic diseases using decision tree: A case study of health insurance company in Indonesia. International Journal of Applied Engineering Research, 12 (7). pp. 1334-1339. ISSN 0973-4562 https://www.ripublication.com/ijaer17/ijaerv12n7_34.pdf
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic H Social Sciences (General)
T Technology (General)
T10.5 Communication of technical information
T58.5 Information technology
spellingShingle H Social Sciences (General)
T Technology (General)
T10.5 Communication of technical information
T58.5 Information technology
Qudsi, Dini Hidayatul
Kartiwi, Mira
Saleh, Nurliyana
Predictive data mining of chronic diseases using decision tree: A case study of health insurance company in Indonesia
description This study aims to identify the potential benefits that data mining can bring to the health sector, using Indonesian Health Insurance company data as case study. The most commonly data mining technique, decision tree, was used to generate the prediction model by visualizing the tree to perform predictive analysis of chronic diseases. All the steps in data mining process have been performed by a data mining tool, named WEKA. Additionally, WEKA also was utilized to evaluate the prediction performance by measuring the accuracy, the specificity and the sensitivity. Among the result found in this study shows some factors that the health insurance can take into account when predicting the treatment cost of a patient.
format Article
author Qudsi, Dini Hidayatul
Kartiwi, Mira
Saleh, Nurliyana
author_facet Qudsi, Dini Hidayatul
Kartiwi, Mira
Saleh, Nurliyana
author_sort Qudsi, Dini Hidayatul
title Predictive data mining of chronic diseases using decision tree: A case study of health insurance company in Indonesia
title_short Predictive data mining of chronic diseases using decision tree: A case study of health insurance company in Indonesia
title_full Predictive data mining of chronic diseases using decision tree: A case study of health insurance company in Indonesia
title_fullStr Predictive data mining of chronic diseases using decision tree: A case study of health insurance company in Indonesia
title_full_unstemmed Predictive data mining of chronic diseases using decision tree: A case study of health insurance company in Indonesia
title_sort predictive data mining of chronic diseases using decision tree: a case study of health insurance company in indonesia
publisher Research India Publication
publishDate 2017
url http://irep.iium.edu.my/57292/1/ijaerv12n7_34.pdf
http://irep.iium.edu.my/57292/2/57292-Predictive%20Data%20Mining%20of%20Chronic%20Diseases%20Using%20Decision%20Tree_SCOPUS.pdf
http://irep.iium.edu.my/57292/
https://www.ripublication.com/ijaer17/ijaerv12n7_34.pdf
_version_ 1643615111155286016
score 13.211869

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