A machine learning approach for predicting suicidal thoughts and behaviours among college students.
- DOI
- 10.1038/s41598-021-90728-z
- Published
- 2021 Jun 15
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-021-90728-z,
title = {A machine learning approach for predicting suicidal thoughts and behaviours among college students.},
author = {Macalli M and Navarro M and Orri M and Tournier M and Thiébaut R and Côté SM and Tzourio C},
year = {2021},
journal = {Scientific reports},
doi = {10.1038/s41598-021-90728-z},
url = {https://doi.org/10.1038/s41598-021-90728-z}
}RIS
TY - JOUR TI - A machine learning approach for predicting suicidal thoughts and behaviours among college students. AU - Macalli M AU - Navarro M AU - Orri M AU - Tournier M AU - Thiébaut R AU - Côté SM AU - Tzourio C PY - 2021 JO - Scientific reports DO - 10.1038/s41598-021-90728-z UR - https://doi.org/10.1038/s41598-021-90728-z ER -
APA
M, M., M, N., M, O., M, T., R, T., SM, C., & C, T. (2021). A machine learning approach for predicting suicidal thoughts and behaviours among college students.. Scientific reports. https://doi.org/10.1038/s41598-021-90728-z
Source records
- pubmed · retrieved 2026-09-26T04:47:39.878Z