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Developing a Hybrid Decision Support Model to Discover Evidence Based Knowledge of the Elderly with Depression
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- 발행기관
- 보안공학연구지원센터(IJBSBT) 바로가기
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- 간행물
- International Journal of Bio-Science and Bio-Technology SCOPUS 바로가기
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- 통권
- Vol.5 No.4 (2013.08)바로가기
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- 페이지
- pp.245-254
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A207168
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- Data mining is the process to extract hidden patterns from enormous amount of data that is commonly used in a range of areas including marketing, fraud detection, scientific discovery as well as health care. The study was conducted to ensure high accuracy in assessing of elderly depression and to build useful decision rules by developing a very reliable evidence based decision support model with the combination of statistical analysis and decision tree algorithms. A large data set of 2008 Korean Elderly Survey (KES) was used consisted of 14,970 elderly data. Having depression as target variable, input variables were demographic, health related and socioeconomic characteristics of the Korean elderly population. Statistical analysis was conducted as a feature selection procession that includes the Chi-square, Fisher’s exact test, the Mann-Whitney U-test and Wald logistic regression Using the C5.0 decision tree algorithm of Clementine 12.0, the final decision support models were built and C5.0 tree showed a high accuracy level of 81.6%. The decision model developed in this study can improve healthcare providers’ ability in making decisions, increasing vigilance with suspected depression in elderly population.
목차
Abstract
1. Introduction
1.1. Purpose of Study
2. Method
2.1. Data Source
2.2. Decision Tree Models and Statistical Data Analysis
3. Results
3.1. Demographic Characteristics of the Target Population
3.2. Performance of Models based on Logistic Regression
3.3. Analysis of Decision Support Model based on Multivariate Analysis
4. Discussion
5. Conclusion
Acknowledgements
References
키워드
Data mining Logistic regression Depression Aged저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJBSBT) [Science & Engineering Research Support Center, Republic of Korea(IJBSBT)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
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- 간행물명
- International Journal of Bio-Science and Bio-Technology
- 간기
- 격월간
- pISSN
- 2233-7849
- 수록기간
- 2009~2016
- 등재여부
- SCOPUS
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Bio-Science and Bio-Technology Vol.5 No.4
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