Predictive Analysis Model for Mental Health
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-9573-5_54
Reference15 articles.
1. Hahn, T., Nierenberg, A., Whitfield-Gabrieli, S.: Predictive analytics in mental health: applications, guidelines, challenges, and perspectives. Mol. Psychiatry 22, 37–43 (2017). https://doi.org/10.1038/mp.2016.201
2. Tate, A.E., McCabe, R.C., Larsson, H., Lundström, S., Lichtenstein, P., et al.: Predicting mental health problems in adolescence using machine learning techniques. PLOS ONE 15(4) (2020). https://doi.org/10.1371/journal.pone.0230389
3. Priya, A., Garg, S., Tigga, N.P.: Predicting anxiety, depression and stress in modern life using machine learning algorithms. Procedia Comput. Sci. 167(2020), 1258–1267 (2020). https://doi.org/10.1016/j.procs.2020.03.442
4. Su, C., Xu, Z., Pathak, J., et al.: Deep learning in mental health outcome research: a scoping review. Transl. Psychiatry 10, 116 (2020). https://doi.org/10.1038/s41398-020-0780-3
5. Laijawala, V., Aachaliya, A., Jatta, H., Pinjarkar, V.: Classification algorithms based mental health prediction using data mining. In: 2020 5th International Conference on Communication and Electronics Systems (ICCES), 2020, pp. 1174–1178. doi:https://doi.org/10.1109/ICCES48766.2020.9137856
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