Comparative Machine Learning Framework for Early Prediction of Gestational Diabetes Mellitus
This project develops a machine learning-based gestational diabetes mellitus (GDM) prediction system that analyzes clinical parameters such as glucose levels, BMI, age, blood pressure, insulin, and pregnancy history. The system accurately predicts diabetes risk during pregnancy, enabling early diagnosis, timely medical intervention, improved maternal and fetal healthcare, and better clinical decision-making through intelligent predictive analytics.
Project ID: 0700
Sub domains: Machine Learning and Django
Domain: Python
Project Year: 2026
Keywords: Gestational Diabetes Machine Learning Healthcare AI Predictive Analytics Clinical Data Python
Project Cost : ₹6500
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