Title :
Application of artificial neural networks for the prediction of quality of life in breast cancer patients
Author :
Shi, Hon-Yi ; Tsai, Jinn-Tsong ; Ho, Wen-Hsien ; Hou, Ming-Feng
Author_Institution :
Grad. Inst. of Healthcare Adm., Kaohsiung Med. Univ., Kaohsiung, Taiwan
Abstract :
By Residual Analysis, the patient characteristics, characteristics of medical institutions, and quality of medical care can be used on prediction of health - related quality of life at different time points. Artificial neural network (ANN) and multiple regressions are used on the different fields, and they have their own advantages. If the doctors would like to know Health-Related Quality of Life of patients, they could use ANN to be a major method and regression to be a secondary method. Although ANN could deal with nonlinear data, there are little studies about quality of life prediction by this method. Therefore, researchers could use the Data Mining to do systemic discussion in the future.
Keywords :
cancer; data mining; health care; neural nets; patient care; regression analysis; ANN; artificial neural networks; breast cancer patients; data mining; health related quality of life; medical care; quality of life; regression analysis; residual analysis; Artificial neural networks; Cancer; Medical diagnostic imaging; Predictive models; Surgery; Training; Artificial Neural Networks; Breast Cancer; Global Sensitivity Analysis; Health-Related Quality of Life; Multiple Linear Regression; Residual Analysis;
Conference_Titel :
SICE Annual Conference (SICE), 2011 Proceedings of
Conference_Location :
Tokyo
Print_ISBN :
978-1-4577-0714-8