Journal ArticleDOI
Analysis of the Characteristics of the Older Adults with Depression Using Data Mining Decision Tree Analysis
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TLDR
The different rules classified by the decision tree model in this study should contribute as baseline data for discovering informative knowledge and developing interventions tailored to these individual characteristics.Abstract:
Purpose: The purpose of this study was to develop a prediction model for the characteristics of older adults with depression using the decision tree method. Methods: A large dataset from the 2008 Korean Elderly Survey was used and data of 14,970 elderly people were analyzed. Target variable was depression and 53 input variables were general characteristics, family & social relationship, economic status, health status, health behavior, functional status, leisure & social activity, quality of life, and living environment. Data were analyzed by decision tree analysis, a data mining technique using SPSS Window 19.0 and Clementine 12.0 programs. Results: The decision trees were classified into five different rules to define the characteristics of older adults with depression. Classification & Regression Tree (C&RT) showed the best prediction with an accuracy of 80.81% among data mining models. Factors in the rules were life satisfaction, nutritional status, daily activity difficulty due to pain, functional limitation for basic or instrumental daily activities, number of chronic diseases and daily activity difficulty due to disease. Conclusion: The different rules classified by the decision tree model in this study should contribute as baseline data for discovering informative knowledge and developing interventions tailored to these individual characteristics.read more
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References
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Journal ArticleDOI
Development and validation of a geriatric depression screening scale: A preliminary report
Jerome A. Yesavage,T. L. Brink,Terence L. Rose,Owen Lum,Virginia Huang,Michael Adey,Von O. Leirer +6 more
TL;DR: A new Geriatric Depression Scale (GDS) designed specifically for rating depression in the elderly was tested for reliability and validity and compared with the Hamilton Rating Scale for Depression (HRS-D) and the Zung Self-Rating Depression Scale(SDS) as discussed by the authors.
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Depression in the elderly
TL;DR: In elderly people, depression mainly affects those with chronic medical illnesses and cognitive impairment, causes suffering, family disruption, and disability, worsens the outcomes of many medical illnesses, and increases mortality.
Journal ArticleDOI
Development of the Korean version of the Geriatric Depression Scale and its short form among elderly psychiatric patients
Jae Nam Bae,Maeng Je Cho +1 more
TL;DR: The G DS-K and SGDS-K proved valid and reliable case-finding tools for screening DSM-III-R major depression among the elderly psychiatric patients in Korea and suggest a score of 16 as the optimal cutoff point of GDS-k for screening psychiatric patients among clinical populations and 8 as optimal cutoff score of SGDS -K.
Journal ArticleDOI
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TL;DR: The 4-item LS scale can identify a group of healthy people from the general population with a high risk of having or developing depressive symptoms, since low life satisfaction also indicates an elevated risk of other adverse health outcomes.
Journal ArticleDOI
Nature, prevalence and factors associated with depression among the elderly in a rural south Indian community.
TL;DR: DSM-IV diagnosis of major depression was significantly correlated with experiencing hunger, diabetes, transient ischemic attack, past head injury, more disability and less nourishment; having more friends was protective.