Abstract
Because the mental health level of Chinese adolescents is generally poor, it is necessary to design a mental health platform to help understand the mental health status of adolescents and provide decision support for psychological intervention. This paper mainly introduces the status quo of adolescent group psychology, and then carries on the platform design based on random forest algorithm. Through the research, this platform can analyze the mental health status of the adolescent group under the effect of random forest algorithm, and can play a role in the early warning and evaluation of the adolescent mental health intervention.
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Acknowledgements
This work is supported by Project S202210635003 supported by Chongqing Municipal Training Program Of Innovation and Entrepreneurship for Undergraduates.
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Ding, H., Sun, Q. (2023). Design of Mental Health Platform for Adolescent Group Based on Random Forest Algorithm. In: Hung, J.C., Chang, JW., Pei, Y. (eds) Innovative Computing Vol 2 - Emerging Topics in Future Internet. IC 2023. Lecture Notes in Electrical Engineering, vol 1045. Springer, Singapore. https://doi.org/10.1007/978-981-99-2287-1_20
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DOI: https://doi.org/10.1007/978-981-99-2287-1_20
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