An evidence based Decision Support Model to Discover the Characteristics of the Elderly with Depression
نویسندگان
چکیده
The aim of this study was to develop a reliable evidence based decision support model with combination of statistical analysis and decision tree algorithms. We used the large data set of 2008 Korean Elderly Survey (KES) which was consisted of 14,970 elderly data. Target variable was depression and input variables were demographic, health related and socioeconomic characteristics. Statistical analysis including the Chi-square, Fisher’s exact test, the Mann-Whitney U-test and Wald logistic regression was used as a feature selection process. The final decision support models were built and C5.0 tree showed the accuracy of 81.6%. The decision model can be applied as an aid in the decision making for clinicians to increase vigilance with suspected depression in elderly population
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تاریخ انتشار 2013