A Ubiquitous Clinic Recommendation System Using the Modified Mixed-Binary Nonlinear Programming-Feedforward Neural Network Approach

Most of the existing ubiquitous clinic recommendation (UCR) systems adopt linear mechanisms to aggregate the attribute-level performances of a clinic to evaluate the overall performance. However, such linear mechanisms may not be able to explain the choices of all patients. To solve this problem, th...

Full description

Saved in:

Bibliographic Details
Published in:	Journal of theoretical and applied electronic commerce research Vol. 16; no. 7; pp. 3282 - 3298
Main Authors:	Lin, Yu-Cheng, Chen, Toly
Format:	Journal Article
Language:	English
Published:	Curicó MDPI AG 01.12.2021
Subjects:	Artificial neural networks clinic Clinics Coronaviruses COVID-19 Decision making Dentists Electronic commerce feedforward neural network Methods mixed-binary nonlinear programming Neural networks Nonlinear programming Patient satisfaction Performance evaluation Questionnaires Recommender systems ubiquitous recommendation User needs Taiwan
ISSN:	0718-1876, 0718-1876
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!