Screening Application for Possible Mental Health Issues in Adolescents and PWDs Using Data Science

Author:

Gunasundari S.,Nandhithaa B.,Mahalakshmi L.,Aparna P.

Publisher

Springer Nature Singapore

Reference20 articles.

1. Xu L, Shu X, Shu J (2022) Research on depression tendency detection based on image and text fusion. In: 5th international conference on artificial intelligence and big data (ICAIBD), Chengdu, China, pp 326–331

2. Tiwari P, Veenadhari S (2022) An efficient classification technique for automatic identification of emotions leading to stress. In: IEEE 6th conference on information and communication technology (CICT), Gwalior, India, pp 1–5

3. Praveen Kumar S, Karthick T (2022) Automatic stress recognition system with deep learning using multimodal psychological data. In: International conference on electronic systems and intelligent computing (ICESIC), Chennai, India, pp 122–127

4. Whitehouse SR, Lam PY, Balka E, McLellan S, Deevska M, Penn D, Issenman R, Paone M (2013) Co-creation with TickiT designing and evaluating a clinical eHealth platform for youth. JMIR Res Protoc 2(2):e42

5. Ford T, Mitrofan O, Wolpert M (2014) Children and young people’s mental health. In: Davies S, Mehta N (eds) The annual report of the chief medical officer 2013. public mental health priorities; investing in the evidence, TSO, London, pp 99–114

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