A Hybrid and Comparative Machine Learning Framework for Predicting Gestational Diabetes Mellitus via a Prospective Case-Control Design: A Pilot Study Integrating Periodontal Health and Hematological Inflammatory Markers

İsa Temur, Mehmet Özsan, Katibe Tuğçe Temur, Andaç Batur Çolak

Open source

DOI
10.3390/metabo16090617
Published
2026-08-27
Container
Metabolites
Publisher
MDPI AG
Open access
unknown

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BibTeX

@article{allodium:10.3390/metabo16090617,
  title = {A Hybrid and Comparative Machine Learning Framework for Predicting Gestational Diabetes Mellitus via a Prospective Case-Control Design: A Pilot Study Integrating Periodontal Health and Hematological Inflammatory Markers},
  author = {İsa Temur and Mehmet Özsan and Katibe Tuğçe Temur and Andaç Batur Çolak},
  year = {2026},
  journal = {Metabolites},
  doi = {10.3390/metabo16090617},
  url = {https://doi.org/10.3390/metabo16090617}
}

RIS

TY  - JOUR
TI  - A Hybrid and Comparative Machine Learning Framework for Predicting Gestational Diabetes Mellitus via a Prospective Case-Control Design: A Pilot Study Integrating Periodontal Health and Hematological Inflammatory Markers
AU  - İsa Temur
AU  - Mehmet Özsan
AU  - Katibe Tuğçe Temur
AU  - Andaç Batur Çolak
PY  - 2026
JO  - Metabolites
DO  - 10.3390/metabo16090617
UR  - https://doi.org/10.3390/metabo16090617
ER  - 

APA

Temur, İ., Özsan, M., Temur, K. T., & Çolak, A. B. (2026). A Hybrid and Comparative Machine Learning Framework for Predicting Gestational Diabetes Mellitus via a Prospective Case-Control Design: A Pilot Study Integrating Periodontal Health and Hematological Inflammatory Markers. Metabolites. https://doi.org/10.3390/metabo16090617

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