1. Amorim, P. (2018). Machine learning techniques applied to the study of mental disorders. Psychology Research and Behavior Management, 11, 99-108.
2. Breiman, L. (2001). Random forests. Machine learning, 45(1), 5-32.
3. Chen, T., & Guestrin, C. (2016). XGBoost: A scalable tree boosting system. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 785–794). ACM.
4. Chen, X., Liu, X., Zhang, Y., & Li, Y. (2017). Predictive modeling of mental health using decision tree and random forest algorithms. Journal of Clinical Nursing, 26(1-2), 45-53.
5. Chiu, S. Y., & Tsai, M. J. (2017). Suicide prevention interventions in online communities: A systematic review. Journal of medical Internet research, 19(6), e174.