Beyond the STI clinic: Use of administrative claims data and machine learning to develop and validate patient-level prediction models for gonorrhea
The models and methods presented here could facilitate the identification of women at high risk of contracting gonorrhea for whom targeted preventive measures may be most beneficial.
Authors
- Jane Whelan (ORCID: https://orcid.org/0000-0003-3784-2749)
- Lorenzo Argante (ORCID: https://orcid.org/0000-0001-6853-068X)
- Germain Lonnet
- Emmanuel Aris (ORCID: https://orcid.org/0000-0001-8640-1742)
Institutions
- GGD Amsterdam (NL)
Publication Details
- Journal
- Digital Health
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1177/20552076251331895
- Primary Topic
- Reproductive tract infections research
- Type
- article
- Field-Weighted Citation Impact
- 0.00