An intelligent algorithm for identification of optimum mix of demographic features for trust in medical centers in Iran
作者：
Highlights：
• Identification of optimum mix of demographic features for trust in medical centers.
• A practical approach for continuous improvement of trust in medical centers.
• Demographic features include age, education, illness severity and duration, and financial status.
• Results show the superiority of the proposed intelligent algorithm.
• First study that investigates patient demographic features using adaptive neuro-fuzzy inference system.
摘要
•Identification of optimum mix of demographic features for trust in medical centers.•A practical approach for continuous improvement of trust in medical centers.•Demographic features include age, education, illness severity and duration, and financial status.•Results show the superiority of the proposed intelligent algorithm.•First study that investigates patient demographic features using adaptive neuro-fuzzy inference system.
论文关键词：Patient,Trust,Demographic Features,Adaptive Neuro-Fuzzy Inference System (ANFIS),Healthcare,Statistical Methods
论文评审过程：Received 3 November 2016, Revised 11 September 2017, Accepted 16 April 2018, Available online 26 April 2018, Version of Record 7 June 2018.
论文官网地址：https://doi.org/10.1016/j.artmed.2018.04.006
