Combining logistic regression with classification and regression tree to predict quality of care in a home health nursing data set.
In this article, the authors provide an overview of a research method to predict quality of care in home health nursing data set. The results of this study can be visualized through classification an regression tree (CART) graphs. The analysis was more effective, and the results were more informative since the home health nursing dataset was analyzed with a combination of the logistic regression and CART, these two techniques complete each other. And the results more informative that more patients' characters were related to quality of care in home care. The results contributed to home health nurse predict patient outcome in case management. Improved prediction is needed for interventions to be appropriately targeted for improved patient outcome and quality of care.
Guo
Huey-Ming
HM
Department of Nursing, Yuan-pei University of Science and Technology, Hsin-Chu, Taiwan, ROC. sophiahm@mail.yust.edu.tw
Shyu
Yea-Ing Lotus
YI
Chang
Her-Kun
HK
D005544:Forecasting; D006699:Home Care Services; D006801:Humans; D016015:Logistic Models; D011787:Quality of Health Care; D013624:Taiwan