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(Guo et al., 2022).
Multimodal Educational Data Fusion for Students’ Mental Health Detection
A framework named CASTLE was proposed for detecting mental health issues in university students. It integrates data on social life, academic performance, and physical appearance to proactively identify mental health problems (Guo et al., 2022).
(Kar, Shankar & Singh, 2022).
Mental health problems among mental health professionals: A neglected issue
The stressful nature of their work often leads to mental health issues among healthcare professionals, including psychiatrists. This review highlights these challenges and suggests remedial measures (Kar, Shankar & Singh, 2022).
(Anto, Asif ET al., 2024)
Exploring the facilitators and barriers to addressing social media's impact on anxiety within primary care: a qualitative study
This study is the first to use empirical research to inform how primary care can adapt to address social media’s impact on anxiety within young adults.