This paper is in the following e-collection/theme issue:

Innovations in Mental Health Systems (371) Methods and New Tools in Mental Health Research (428) Natural Language Processing (650) Machine Learning (1400) Artificial Intelligence (1214) Clinical Information and Decision Making (1339)

Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49894, first published .
Predicting Patients' Satisfaction With Mental Health Drug Treatment Using Their Reviews: Unified Interchangeable Model Fusion Approach

Predicting Patients' Satisfaction With Mental Health Drug Treatment Using Their Reviews: Unified Interchangeable Model Fusion Approach

Predicting Patients' Satisfaction With Mental Health Drug Treatment Using Their Reviews: Unified Interchangeable Model Fusion Approach

Authors of this article:

Yi Wang1 Author Orcid Image ;   Yide Yu1 Author Orcid Image ;   Yue Liu1 Author Orcid Image ;   Yan Ma1, 2 Author Orcid Image ;   Patrick Cheong-Iao Pang1 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics

Yi Wang   1 , BSc ;   Yide Yu   1 , MSc ;   Yue Liu   1 , PhD ;   Yan Ma   1, 2 , PhD ;   Patrick Cheong-Iao Pang   1 , PhD

1 Faculty of Applied Sciences, Macao Polytechnic University, Macao, Macao

2 School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China

Corresponding Author:

  • Yue Liu, PhD
  • Faculty of Applied Sciences, Macao Polytechnic University
  • Rua de Luís Gonzaga Gomes
  • Macao, 999078
  • Macao
  • Phone: 853 85996433
  • Email: yue.liu@mpu.edu.mo