Machine learning and natural language processing for the identification of potential mental disorders among school-age children: a prospective birth cohort study.
- DOI
- 10.1186/s12916-026-04927-4
- Published
- 2026 May 28
- Container
- BMC medicine
- 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:10.1186/s12916-026-04927-4,
title = {Machine learning and natural language processing for the identification of potential mental disorders among school-age children: a prospective birth cohort study.},
author = {Chen S and Dang T and Qian M and Liang H and Bedada DT and Louw QA and Moore A and Cardinal RN and Ford TJ and Jiang F},
year = {2026},
journal = {BMC medicine},
doi = {10.1186/s12916-026-04927-4},
url = {https://doi.org/10.1186/s12916-026-04927-4}
}RIS
TY - JOUR TI - Machine learning and natural language processing for the identification of potential mental disorders among school-age children: a prospective birth cohort study. AU - Chen S AU - Dang T AU - Qian M AU - Liang H AU - Bedada DT AU - Louw QA AU - Moore A AU - Cardinal RN AU - Ford TJ AU - Jiang F PY - 2026 JO - BMC medicine DO - 10.1186/s12916-026-04927-4 UR - https://doi.org/10.1186/s12916-026-04927-4 ER -
APA
S, C., T, D., M, Q., H, L., DT, B., QA, L., A, M., RN, C., TJ, F., & F, J. (2026). Machine learning and natural language processing for the identification of potential mental disorders among school-age children: a prospective birth cohort study.. BMC medicine. https://doi.org/10.1186/s12916-026-04927-4
Source records
- pubmed · retrieved 2026-09-26T08:38:47.958Z