Measuring Depression Severity With Clinical Global Impression-Severity Scale Scores From Clinical Notes Using Large Language Models: Validation Study.

Li K, Zirikly A, Collica SC, Goes FS, Zhao C, Nguyen T, Gagliardi JP, Goldstein BA, Hong H, Stuart EA, Zandi PP

Open source

DOI
10.2196/86906
Published
2026 Aug 10
Container
JMIR formative research
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.2196/86906,
  title = {Measuring Depression Severity With Clinical Global Impression-Severity Scale Scores From Clinical Notes Using Large Language Models: Validation Study.},
  author = {Li K and Zirikly A and Collica SC and Goes FS and Zhao C and Nguyen T and Gagliardi JP and Goldstein BA and Hong H and Stuart EA and Zandi PP},
  year = {2026},
  journal = {JMIR formative research},
  doi = {10.2196/86906},
  url = {https://doi.org/10.2196/86906}
}

RIS

TY  - JOUR
TI  - Measuring Depression Severity With Clinical Global Impression-Severity Scale Scores From Clinical Notes Using Large Language Models: Validation Study.
AU  - Li K
AU  - Zirikly A
AU  - Collica SC
AU  - Goes FS
AU  - Zhao C
AU  - Nguyen T
AU  - Gagliardi JP
AU  - Goldstein BA
AU  - Hong H
AU  - Stuart EA
AU  - Zandi PP
PY  - 2026
JO  - JMIR formative research
DO  - 10.2196/86906
UR  - https://doi.org/10.2196/86906
ER  - 

APA

K, L., A, Z., SC, C., FS, G., C, Z., T, N., JP, G., BA, G., H, H., EA, S., & PP, Z. (2026). Measuring Depression Severity With Clinical Global Impression-Severity Scale Scores From Clinical Notes Using Large Language Models: Validation Study.. JMIR formative research. https://doi.org/10.2196/86906

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