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- W4360982067 abstract "Students are the backbone of civilization, and the world’s future is in their minds, but many students nowadays suffer from stress, depression, and anxiety. As computing technology progresses, there has been research on efficiently, cost-effectively, and quickly managing mental disorders in pupils. It is unknown if these technologies have given acceptable remedies for student mental illness or if gaps remain. The research reviews articles on student mental health utilizing machine learning, wearables, and smartphones. The paper examines how technologies are employed and which have the most potential to provide solutions, as well as aspects regarding mental illness causes and those that are not. This review shows researchers how to improve student mental health services." @default.
- W4360982067 created "2023-03-30" @default.
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- W4360982067 date "2023-01-01" @default.
- W4360982067 modified "2023-10-16" @default.
- W4360982067 title "Machine Learning, Wearable, and Smartphones for Student’s Mental Health Analysis" @default.
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- W4360982067 doi "https://doi.org/10.1007/978-981-19-9225-4_25" @default.
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