Diabetes Prediction Using Enhanced SVM and Deep Neural Network Learning Techniques

Diabetes, caused by the rise in level of glucose blood, has many latest devices to identify from blood samples. when unnoticed, may bring serious diseases like heart attack, kidney disease. In this way, there is a requirement for solid research and learning model’s enhancement field gestational diabetes identification analysis. SVM one powerful classification models machine learning, similarly, Deep Neural Network under deep models. work, we applied Enhanced Support Vector Machine Learning model prediction screening. The proposed method uses obtaining its input output Machine, thus having combined efficacy. dataset considered includes 768 patients’ data with eight major features target column result “Positive” or “Negative”. Experiment done Python outcome our demonstration shows that gives more efficiency prediction.