Diabetes in Women
application of Support Vector Machine for Modeling and Prediction
Keywords:
Gestational Diabetes Mellitus, Support Vector Machine, Machine Learning, Medical Data AnalysisAbstract
Gestational Diabetes Mellitus is a common complication in pregnancy and has a worldwide average incidence of 16.2% among pregnant women. It arises from metabolic changes and aids in the transportation of glucose from the mother to the fetus through the placenta. Modern lifestyle factors such as high-carb diets and obesity can lead to gestational diabetes, marked by high blood glucose levels due to insulin problems. Recognizing its specificities is vital to identify risks, take preventive measures and maintain quality of life. Furthermore, integration of machine learning in medicine allows analyzing complex medical data, leading to appropriate treatments and more personalized results with reduced healthcare costs.
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References
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