A hybrid IT framework for identifying high-quality physicians using big data analytics
作者：
Highlights：
• Expertise similarity match alone is not enough for recommending physicians.
• Feedback, basic profiles and service quality are also valuable for doctor-finding.
• Propose a four-level model to identify high-quality doctors using signaling theory.
• Use Binary Long Short-Term Memory (Bi-LSTM) method to mining feedbacks.
• Elite factors that influence recommendation intention using the regression model.
摘要
•Expertise similarity match alone is not enough for recommending physicians.•Feedback, basic profiles and service quality are also valuable for doctor-finding.•Propose a four-level model to identify high-quality doctors using signaling theory.•Use Binary Long Short-Term Memory (Bi-LSTM) method to mining feedbacks.•Elite factors that influence recommendation intention using the regression model.
论文关键词：Online healthcare communities,Physician identifying,Signaling theory,Machine learning,Topic modeling,Multi-criterion analysis
论文评审过程：Received 10 August 2018, Revised 6 January 2019, Accepted 6 January 2019, Available online 11 January 2019, Version of Record 11 January 2019.
论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2019.01.005
