A probabilistic reliable linguistic PROBID method for selecting electronic mental health platforms considering users’ bounded rationality
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering
Reference52 articles.
1. COVID-19 pandemic and international students’ mental health in China: Age, gender, chronic health condition and having infected relative as risk factors;Antwi;Int. J. Environ. Res. Public Health,2022
2. Human–computer interaction in digital mental health;Balcombe;Informatics,2022
3. Current and future trends in internet-supported mental health interventions;Barak;J. Technol. Hum. Serv.,2011
4. Ownership, use of, and interest in digital mental health technologies among clinicians and young people across a spectrum of clinical care needs: Cross-sectional survey;Bell;JMIR Ment. Health,2022
5. A new decision support framework with picture fuzzy information: Comparison of video conferencing platforms for higher education in India;Biswas;Discrete Dyn. Nat. Soc.,2021
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