ISMAT JERIN ARPA

Leading University

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DIABETES PREDICTION USING MACHINE LEARNING ALGORITHMS

Diabetes is a metabolic disease affecting a multitude of people worldwide. Its incidence rates are increasing alarmingly every year. If untreated, diabetes-related complications in many vital organs of the body may turn fatal. Early detection of diabetes is very important for timely treatment which can stop the disease progressing to such complications. With our living standards diabetes has increased commonly in people’s daily life. So how to analyse diabetes is worth studying. As we get the diagnosis earlier we can control it. Machine learning can make preliminary judgement on diabetes mellitus according to physical examination data. Recently, many algorithms are used to predict diabetes, including machine learning methods like Random Forest, (KNN) K-Nearest Neighbor, Decision Tree and so on. With this machine learning techniques we are able to predict diabetes by constructing predicting models which are obtained by medical datasets. By extracting such knowledge we are able to predict diabetic patients. We use the best technique to predict based on our attributes of the given datasets in order to get the perfect accuracy to predict diabetes mellitus.