Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Call For Paper : Vol 11, Issue 03, March 2024

Call for Paper

Vol 11, Issue 03, March 2024

Indexing

Predictive Modelling and Analytics for Diabetes using a Machine Learning Approach

Author : Prateek Mishra 1 Dr.Anurag Sharma 2 Dr.Abhishek Badholi 3

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Date of Publication :1st October 2020

Abstract: Diabetes may be a major disorder which may affect entire body system adversely. Undiagnosed diabetes can increase the danger of cardiac stroke, diabetic nephropathy and other disorders. everywhere the planet many people are suffering from this disease. Early detection of diabetes is extremely important to take care of a healthy life. This disease may be a reason of worldwide concern because the cases of diabetes are rising rapidly. Machine learning (ML) may be a computational method for automatic learning from experience and improves the performance to form more accurate predictions. within the current research we've utilized machine learning technique in Pima Indian diabetes dataset to develop trends and detect patterns with risk factors using R data manipulation tool. To classify the patients into diabetic and non-diabetic we've developed and analyzed five different predictive models using R data manipulation tool. For this purpose, we used supervised machine learning algorithms namely linear kernel support vector machine (SVM-linear), radial basis function (RBF) kernel support vector machine, k-nearest neighbor (k-NN), artificial neural network (ANN) and multifactor dimensionality reduction (MDR).

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