Machine learning techniques for identifying mental health risk factor associated with schoolchildren cognitive ability living in politically violent environments.
- DOI
- 10.3389/fpsyt.2023.1071622
- Published
- 2023-05-26
- Container
- Front Psychiatry
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fpsyt.2023.1071622,
title = {Machine learning techniques for identifying mental health risk factor associated with schoolchildren cognitive ability living in politically violent environments.},
author = {Qasrawi R and Vicuna Polo S and Abu Khader R and Abu Al-Halawa D and Hallaq S and Abu Halaweh N and Abdeen Z.},
year = {2023},
journal = {Front Psychiatry},
doi = {10.3389/fpsyt.2023.1071622},
url = {https://doi.org/10.3389/fpsyt.2023.1071622}
}RIS
TY - JOUR TI - Machine learning techniques for identifying mental health risk factor associated with schoolchildren cognitive ability living in politically violent environments. AU - Qasrawi R AU - Vicuna Polo S AU - Abu Khader R AU - Abu Al-Halawa D AU - Hallaq S AU - Abu Halaweh N AU - Abdeen Z. PY - 2023 JO - Front Psychiatry DO - 10.3389/fpsyt.2023.1071622 UR - https://doi.org/10.3389/fpsyt.2023.1071622 ER -
APA
R, Q., S, V. P., R, A. K., D, A. A., S, H., N, A. H., & Z., A. (2023). Machine learning techniques for identifying mental health risk factor associated with schoolchildren cognitive ability living in politically violent environments.. Front Psychiatry. https://doi.org/10.3389/fpsyt.2023.1071622
Source records
- europe-pmc · retrieved 2026-09-25T19:03:20.778Z
- doaj · retrieved 2026-09-25T19:03:20.780Z