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Prediction Model for Health-Related Quality of Life of Elderly with Chronic Diseases using Machine Learning Techniques

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Author(s)
Soo-Kyoung LeeYoun-Jung SonJeongeun KimHong-Gee KimJae-Il LeeBo-Yeong KangHyeon-Sung ChoSungin Lee
Keimyung Author(s)
Lee, Soo Kyoung
Department
Dept. of Nursing (간호학)
Journal Title
Healthcare Informatics Research
Issued Date
2014
Volume
20
Issue
2
Abstract
Objectives: The purposes of this study were to identify the factors that affect the health-related quality of life (HRQoL) of the elderly with chronic diseases and to subsequently develop from such factors a prediction model to help identify HRQoL risk groups that require intervention. Methods: We analyzed a set of secondary data regarding 716 individuals extracted from the Korea National Health and Nutrition Examination Survey from 2008 to 2010. The statistical package of SPSS and MATLAB were used for data analysis and development of the prediction model. The algorithms used in the study were the following: stepwise logistic regression (SLR) analysis and machine learning (ML) techniques, such as decision tree, random forest, and support vector machine methods. Results: Five factors with statistical significance were identified for HRQoL in the elderly with chronic diseases: ‘monthly income’, ‘diagnosis of chronic disease’, ‘depression’, ‘discomfort’, and ‘perceived health status.’ The SLR analysis showed the best performance with accuracy = 0.93 and F-score = 0.49. The results of this study provide essential materials that will help formulate personalized health management strategies and develop interventions programs towards the improvement of the HRQoL for elderly people with chronic diseases. Conclusions: Our study is, to our best knowledge, the first attempt to identify the influencing factors and to apply prediction models for the HRQoL of the elderly with chronic diseases by using ML techniques as an alternative and complement to the traditional statistical approaches.
Keywords: Quality of Life, Aged, Chronic Disease, Artificial Intelligence
Keimyung Author(s)(Kor)
이수경
Publisher
College of Nursing
Citation
Soo-Kyoung Lee et al. (2014). Prediction Model for Health-Related Quality of Life of Elderly with Chronic Diseases using
Machine Learning Techniques. Healthcare Informatics Research, 20(2), 125–134. doi: 10.4258/hir.2014.20.2.125
Type
Article
ISSN
2093-3681
DOI
10.4258/hir.2014.20.2.125
URI
https://kumel.medlib.dsmc.or.kr/handle/2015.oak/35806
Appears in Collections:
2. College of Nursing (간호대학) > Dept. of Nursing (간호학)
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