A 2025 study by Hesham Zaky and team at BMC Medical Informatics showcases a stacking-based ML model predicting gestational diabetes in the first trimester. Using ensemble classifiers and SHAP analysis, the work identifies crucial biomarkers. Explore the study’s approach to early detection and its practical applications in healthcare.

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Machine learning based model for the early detection of Gestational Diabetes Mellitus