INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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.
"A COMPARATIVE STUDY FOR DIABETES PREDICTION USING DIFFERENT MACHINE LEARNING ALGORITHMS", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 12, page no.a27-a32, December-2022, Available :http://www.ijnrd.org/papers/IJNRD2212005.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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