Using Natural Language Processing to Examine State Child Maltreatment Policies and Associations With Outcomes: Multistate Cross-Sectional Study
- DOI
- 10.2196/99643
- Published
- 2026-09-16
- Container
- JMIR Public Health and Surveillance
- Publisher
- JMIR Publications Inc.
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2196/99643,
title = {Using Natural Language Processing to Examine State Child Maltreatment Policies and Associations With Outcomes: Multistate Cross-Sectional Study},
author = {Zhidi Luo and Richard A Epstein and Nethra Sambamoorthi and Lutfiyya N Muhammad and Neil Jordan},
year = {2026},
journal = {JMIR Public Health and Surveillance},
doi = {10.2196/99643},
url = {https://doi.org/10.2196/99643}
}RIS
TY - JOUR TI - Using Natural Language Processing to Examine State Child Maltreatment Policies and Associations With Outcomes: Multistate Cross-Sectional Study AU - Zhidi Luo AU - Richard A Epstein AU - Nethra Sambamoorthi AU - Lutfiyya N Muhammad AU - Neil Jordan PY - 2026 JO - JMIR Public Health and Surveillance DO - 10.2196/99643 UR - https://doi.org/10.2196/99643 ER -
APA
Luo, Z., Epstein, R. A., Sambamoorthi, N., Muhammad, L. N., & Jordan, N. (2026). Using Natural Language Processing to Examine State Child Maltreatment Policies and Associations With Outcomes: Multistate Cross-Sectional Study. JMIR Public Health and Surveillance. https://doi.org/10.2196/99643
Source records
- crossref · retrieved 2026-09-25T11:54:06.928Z