A COMPARATIVE STUDY FOR DIABETES PREDICTION USING DIFFERENT MACHINE LEARNING ALGORITHMS

Registration ID: IJNRD_184358

Published ID: IJNRD2212005

DOI: Click Here to Get

Ansari Huzaif , Saket Swarndeep

Diabetes, Disease, Worldwide, Machine Learning, PIMA Datasets

Diabetes develops when your blood sugar, also known as blood glucose, is too high. Blood glucose is your major source of energy, and it is obtained from the foods you consume. Diabetes has contributed to difficulties with heart disease, foot problems, nerve damage, and other ailments throughout time. Millions of people worldwide are affected by this type of illness. Early diabetes detection is critical to ensuring people's health. As a result, in order to foresee diabetes, a system for monitoring people's diabetes is necessary. Understanding the signs of the disease is critical for making predictions about it. We provide a framework for diabetes prediction utilizing a variety of machine learning algorithms in this study. The PIMA Indian Diabetic dataset is also used to evaluate machine learning algorithms such as Artificial Neural Networks (ANN), Decision Trees, Random forests, K-Nearest Neighbors (KNN), Support Vector Machines (SVM), and Logistic Regression. Following that, the findings are examined. Based on the patient's current medical information, we utilize a fused model to predict whether or not the patient has diabetes.

Published Paper   E-Certificate

Ansari Huzaif & Saket Swarndeep (December-2022). A COMPARATIVE STUDY FOR DIABETES PREDICTION USING DIFFERENT MACHINE LEARNING ALGORITHMS. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(12), a27-a32. https://ijnrd.org/papers/IJNRD2212005.pdf

Volume 7 Issue 12, December-2022

Pages : a27-a32

Paper Reg. ID: IJNRD_184358

Published Paper Id: IJNRD2212005

Downloads: 000121984

Research Area: Computer Engineering 

Country: Ahmedabad, Gujarat, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2212005.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2212005

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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