A survey on Data Mining approaches for Healthcare
Обзор подходов к интеллектуальному анализу данных в здравоохранении
2013-10-31
SCID: 54.1/tdgnnrfb
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Abstract (AI)
Data Mining is one of the most motivating area of research that is become increasingly popular in health organization.Data Mining plays an important role for uncovering new trends in healthcare organization which in turn helpful for all the parties associated with this field.This survey explores the utility of various Data Mining techniques such as classification, clustering, association, regression in health domain.In this paper, we present a brief introduction of these techniques and their advantages and disadvantages.This survey also highlights applications, challenges and future issues of Data Mining in healthcare.Recommendation regarding the suitable choice of available Data Mining technique is also discussed in this paper.
Key Findings
1
Data mining is presented as a means of uncovering new trends that can benefit stakeholders across healthcare organizations.
2
It discusses recommendations for selecting suitable data-mining techniques for specific healthcare needs.
3
It summarizes the advantages and disadvantages of major data-mining techniques used in the health domain.
4
The paper reviews healthcare applications, challenges, and future issues associated with data mining.
5
The survey examines classification, clustering, association, and regression as data-mining approaches for healthcare.
Research Object
Data mining in healthcare organizations
Research Subject
The utility, applications, challenges, limitations, and selection of classification, clustering, association, and regression techniques for healthcare data
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Publication Date
2013-10-31
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