The early prediction of gestational diabetes mellitus by machine learning models
The XGB classifier model constructed with maternal sociodemographic findings and the obstetric history could be used as an early prediction model for GDM especially in low-income countries.
Authors
- Tuğba Tahta (ORCID: https://orcid.org/0000-0003-0190-977X)
- Özer Çelik (ORCID: https://orcid.org/0000-0002-4409-3101)
- Yeliz Kaya (ORCID: https://orcid.org/0000-0003-4277-3960)
- Zafer Bütün (ORCID: https://orcid.org/0000-0001-5297-4462)
- Ece Akça Salık
- Arzu Altun Yavuz
Institutions
- Eskişehir City Hospital (TR)
- Ankara Medipol Üniversitesi
- Eskişehir Osmangazi University (TR)
Publication Details
- Journal
- BMC Pregnancy and Childbirth
- Published
- 2024-08-31
- DOI
- https://doi.org/10.1186/s12884-024-06783-7
- Citations
- 20
- Primary Topic
- Gestational Diabetes Research and Management
- Type
- article
- Field-Weighted Citation Impact
- 11.66