Diabetes Mellitus Detection using Support Vector Machine
Keywords:
Artificial Intelligence, Machine Learning, Support Vector Machine, PIMAAbstract
With the advancement in technology, diagnosis of diseases is performed using Artificial Intelligence and Machine Learning. Diabetes is one of the chronic diseases that is spread all over the world. Diagnosing Diabetes early can save millions of lives. In this paper Support Vector Machine is used to diagnose a patient whether it is diabetic or Non-Diabetic. PIMA dataset is collected the public repository KAGGLE. For training machine learning algorithm 70% of data is used while as 30% is used for testing. The results showed that Support Vector Machine has 86.2% Accuracy with Precision of 83%. In future other machine learning algorithms can be used for performing the said task.
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