Analysis of the Characteristics of the Older Adults with Depression Using Data Mining Decision Tree Analysis

2013 ◽  
Vol 43 (1) ◽  
pp. 1 ◽  
Author(s):  
Myonghwa Park ◽  
Sora Choi ◽  
A Mi Shin ◽  
Chul Hoi Koo
2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S941-S941
Author(s):  
Ji Yeon Lee ◽  
Kwang Joon Kim ◽  
Chang Oh Kim

Abstract Because the number of older adults discharged home is increasing, a comprehensive geriatric assessment (CGA) becomes a helpful tool to make a decision about discharge destination. This study aimed to examine the predictors related with discharge destination using the component of CGA. We used decision tree analysis with the Classification and Regression Trees algorithm. Study participants were older adults over 65 years old who were admitted to geriatric department at a university-affiliated hospital in Korea. The older adults were assessed by multi-professional team at the initial stage of their hospitalization and received blood tests and the CGA. A total of 184 patients was included. The mean age was 84.6 years old and 61.6% were female. The analysis revealed arm circumference and level of frailty were significant predictors of home discharge. Specifically, 90.1% of patients had discharged home if their upper arm circumference was more than 18.3 centimeters, and 36.4% was discharged home if it was less than 18.3 centimeters. Among older adults with the arm circumference more than 18.3 centimeters, 57% of robust older adults and 91.7% of prefrail or frail older adults were discharged home. These robust older adults had relatively better daily living ability, and discharged to other facilities rather than home for rehabilitation. As many frail older adults are discharging to their own home, clinicians need to pay more attention to them. Also it is encouraged to perform the CGA, which includes nutritional assessment in it, for inpatient older adults.


Author(s):  
Kiichi Sugimoto ◽  
Koichiro Niwa ◽  
Shun Ishiyama ◽  
Hirohiko Kamiyama ◽  
Hiromitsu Komiyama ◽  
...  

Author(s):  
Wenzhong Zhu ◽  
Yabo Shang ◽  
Sitong He ◽  
Wen-Tsao Pan

In the age of the Internet economy, Internet enterprises have attracted tremendous public attention, especially in China. In this paper, data mining through regression analysis, grey relational analysis, decision tree analysis and cluster analysis is implemented to further study the relationship between corporate social responsibility (CSR) and corporate financial performance (CFP) of Internet enterprises in China. This study collects and analyzes data of 20 Internet enterprises in China from the year of 2011 to 2016 and draws the following conclusions: (1) the relationship between CSR and CFP of the Internet enterprises is negative; (2) from the stakeholder perspective, CSR to shareholders, creditors and government is positively related to CFP; CSR to customers, suppliers and employees is not positively related to CFP; (3) through decision tree analysis, it is found that what affects the overall CSR performance of the Internet enterprises the most is CSR to customers and suppliers, while what affects the CFP of the Internet enterprises the most is CSR to creditors; (4) through cluster analysis, 20 enterprises can be divided into three types. This study has theoretical, methodological, practical and educational implications for future related research, business practitioners and educational institutions.


Drugs & Aging ◽  
2015 ◽  
Vol 32 (4) ◽  
pp. 305-314 ◽  
Author(s):  
Cara Tannenbaum ◽  
Vakaramoko Diaby ◽  
Dharmender Singh ◽  
Sylvie Perreault ◽  
Mireille Luc ◽  
...  

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