标题: Mining the preferences of patients for ubiquitous clinic recommendation
作者: Chen, Tin-Chih Toly
Chiu, Min-Chi
工业工程与管理学系
Department of Industrial Engineering and Management
关键字: Ubiquitous recommendation;Clinic;Integer nonlinear programming;Data mining
公开日期: 1-六月-2020
摘要: A challenge facing all ubiquitous clinic recommendation systems is that patients often have difficulty articulating their requirements. To overcome this problem, a ubiquitous clinic recommendation mechanism was designed in this study by mining the clinic preferences of patients. Their preferences were defined using the weights in the ubiquitous clinic recommendation mechanism. An integer nonlinear programming problem was solved to tune the values of the weights on a rolling basis. In addition, since it may take a long time to adjust the values of weights to their asymptotic values, the back propagation network (BPN)-response surface method (RSM) method is applied to estimate the asymptotic values of weights. The proposed methodology was tested in a regional study. Experimental results indicated that the ubiquitous clinic recommendation system outperformed several existing methods in improving the successful recommendation rate.
URI: http://dx.doi.org/10.1007/s10729-018-9441-y
http://hdl.handle.net/11536/154539
ISSN: 1386-9620
DOI: 10.1007/s10729-018-9441-y
期刊: HEALTH CARE MANAGEMENT SCIENCE
Volume: 23
Issue: 2
起始页: 173
结束页: 184
显示于类别:Articles