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Application of Decision Tree Algorithm for Data Mining in Healthcare Operations: A Case Study

by Farhad Soleimanian Gharehchopogh, Peyman Mohammadi, Parvin Hakimi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 52 - Number 6
Year of Publication: 2012
Authors: Farhad Soleimanian Gharehchopogh, Peyman Mohammadi, Parvin Hakimi
10.5120/8206-1613

Farhad Soleimanian Gharehchopogh, Peyman Mohammadi, Parvin Hakimi . Application of Decision Tree Algorithm for Data Mining in Healthcare Operations: A Case Study. International Journal of Computer Applications. 52, 6 ( August 2012), 21-26. DOI=10.5120/8206-1613

@article{ 10.5120/8206-1613,
author = { Farhad Soleimanian Gharehchopogh, Peyman Mohammadi, Parvin Hakimi },
title = { Application of Decision Tree Algorithm for Data Mining in Healthcare Operations: A Case Study },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 52 },
number = { 6 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 21-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume52/number6/8206-1613/ },
doi = { 10.5120/8206-1613 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:51:34.399706+05:30
%A Farhad Soleimanian Gharehchopogh
%A Peyman Mohammadi
%A Parvin Hakimi
%T Application of Decision Tree Algorithm for Data Mining in Healthcare Operations: A Case Study
%J International Journal of Computer Applications
%@ 0975-8887
%V 52
%N 6
%P 21-26
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

By means of data mining techniques, we can exploit furtive and precious information through medicine data bases. Because of huge amount of this information, study and analyses are too difficult. We want some methods to exploring through data and extract valuable information which can be used in the future similar cases. One of these cases is accouchement. The mechanism of accouchement is a natural and spontaneous process without the need to any intervention. In some conditions, maybe mother, baby or both of them are in hazard and need help and support. This help is provided by Caesarian Section which saves mother and baby. Nevertheless, we need to know when we should use surgery. This study explains utilization of medical data mining in determination of medical operation methods. We render this with accumulating 80 pregnant women information. The results show that decision tree algorithm designed for this case study generates correct prediction for more than 86. 25% tests cases

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Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Knowledge Discovery Cesarean Section Decision Tree

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