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Reseach Article

Data Mining for Healthcare Decision Making

by Matheus Carvalho Peixoto, Kátia Kelvis Cassiano Lozano, Talles Marcelo Gonçalves De Andrade Barbosa
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 177 - Number 30
Year of Publication: 2020
Authors: Matheus Carvalho Peixoto, Kátia Kelvis Cassiano Lozano, Talles Marcelo Gonçalves De Andrade Barbosa
10.5120/ijca2020919798

Matheus Carvalho Peixoto, Kátia Kelvis Cassiano Lozano, Talles Marcelo Gonçalves De Andrade Barbosa . Data Mining for Healthcare Decision Making. International Journal of Computer Applications. 177, 30 ( Jan 2020), 39-42. DOI=10.5120/ijca2020919798

@article{ 10.5120/ijca2020919798,
author = { Matheus Carvalho Peixoto, Kátia Kelvis Cassiano Lozano, Talles Marcelo Gonçalves De Andrade Barbosa },
title = { Data Mining for Healthcare Decision Making },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2020 },
volume = { 177 },
number = { 30 },
month = { Jan },
year = { 2020 },
issn = { 0975-8887 },
pages = { 39-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume177/number30/31094-2020919798/ },
doi = { 10.5120/ijca2020919798 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:47:21.528058+05:30
%A Matheus Carvalho Peixoto
%A Kátia Kelvis Cassiano Lozano
%A Talles Marcelo Gonçalves De Andrade Barbosa
%T Data Mining for Healthcare Decision Making
%J International Journal of Computer Applications
%@ 0975-8887
%V 177
%N 30
%P 39-42
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a case study with the application of machine learning techniques to generate knowledge about breast cancer in Goiás / Brazil regarding morbidity and access to health services. Data mining techniques were used, involving descriptive and predictive data analysis, revealing characteristic patterns of the Goiás municipalities that allowed their grouping by similarity. The results suggest that such models can be used to generate information that supports decision making processes in the definition and applicability of public health policies.

References
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  4. Data analytics in medical data : A review
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  6. J. Han, M. Kamber and J. Pei, “Cluster Analysis: Basic Concepts and Methods” in Data Mining Concepts and Techniques. Waltham: Morgan Kaufmann Publishers, 2012, pp. 451
Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Descriptive Exploratory Analysis Predictive Analysis Clustering