Anomaly detection and early risk identification in digital disaster response-based on deep learning in public health.

Wu W, Pan C

DOI: 10.3389/fpubh.2025.1624345
Published: 2025
Container: Frontiers in public health
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fpubh.2025.1624345,
  title = {Anomaly detection and early risk identification in digital disaster response-based on deep learning in public health.},
  author = {Wu W and Pan C},
  year = {2025},
  journal = {Frontiers in public health},
  doi = {10.3389/fpubh.2025.1624345},
  url = {https://doi.org/10.3389/fpubh.2025.1624345}
}

RIS

TY  - JOUR
TI  - Anomaly detection and early risk identification in digital disaster response-based on deep learning in public health.
AU  - Wu W
AU  - Pan C
PY  - 2025
JO  - Frontiers in public health
DO  - 10.3389/fpubh.2025.1624345
UR  - https://doi.org/10.3389/fpubh.2025.1624345
ER  -

APA

W, W., & C, P. (2025). Anomaly detection and early risk identification in digital disaster response-based on deep learning in public health.. Frontiers in public health. https://doi.org/10.3389/fpubh.2025.1624345

Source records

pubmed · retrieved 2026-09-25T13:07:04.342Z