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What is Diabetes Prediction Using Machine Learning Algorithms and Ontology about?

This paper presents a comparative study of machine learning (ML) algorithms and ontology-based techniques for predicting diabetes, highlighting the importance of early detection. Various classification algorithms, including SVM, KNN, ANN, Naive Bayes, Logistic Regression, and Decision Tree, were evaluated based on performance metrics such as Accuracy, Precision, Recall, and F-Measure. The results indicate that ontology classifiers and SVM achieved the best accuracy in detecting diabetes patients.

Author

smmuhibhossain0

Language

EN