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Prediction model for gestational diabetes mellitus using the XG Boost machine learning algorithm
OBJECTIVE: To develop the extreme gradient boosting (XG Boost) machine learning (ML) model for predicting gestational diabetes mellitus (GDM) compared with a model using the traditional logistic regression (LR) method. METHODS: A case–control study was carried out among pregnant women, who were assi...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10034315/ https://www.ncbi.nlm.nih.gov/pubmed/36967760 http://dx.doi.org/10.3389/fendo.2023.1105062 |