Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)

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Prediction of Adolescent Suicidal Tendency Based on Random Forest Algorithm

Authors
Qixuan Sun1, Haiyang Ding2, *
1College of Computer and Information Science, Southwest University, Beibei, Chongqing, 400700 , China
2Faculty of Psychology, Southwest University, Beibei, Chongqing, 400700, China
*Corresponding author. Email: sean25@foxmail.com
Corresponding Author
Haiyang Ding
Available Online 26 July 2023.
DOI
10.2991/978-94-6463-200-2_110How to use a DOI?
Keywords
Social media; Teenagers; Suicide warning; Machine learning; Random forest prediction
Abstract

Suicide is a serious public health problem in today's society. It is of great social significance to conduct in-depth research on suicide prevention. In this study, suicide risk assessment methods based on random forest algorithm were investigated. The random matching and traversal matching algorithms are used to optimize the combination of hyperparameters, and the fitting problem of this model in prediction accuracy improvement is improved. Experiments show that the evaluation results of the random forest model are in line with expectations (MSE, RMSE, MAE, MAPE, R-2 are good). The results of this study can be applied to the early intervention of suicide prevention. At the same time, it also puts forward the reflection and improvement of the model.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
26 July 2023
ISBN
978-94-6463-200-2
ISSN
2589-4919
DOI
10.2991/978-94-6463-200-2_110How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Qixuan Sun
AU  - Haiyang Ding
PY  - 2023
DA  - 2023/07/26
TI  - Prediction of Adolescent Suicidal Tendency Based on                                                                                                                                                                                            Random Forest Algorithm
BT  - Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
PB  - Atlantis Press
SP  - 1050
EP  - 1058
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-200-2_110
DO  - 10.2991/978-94-6463-200-2_110
ID  - Sun2023
ER  -