Optimal Machine Learning Model for Diabetes Disease Prediction

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Dr. G. Naveen Sundar, Dr. D. Narmadha, Dona Davis, Helan Selvin, Dr. V. Ebenezer

Abstract

Diabetes is a metabolic disease that is caused as a result of increased blood sugar levels. Elevated levels of blood glucose, influence all vital organs and other organs of the body. To own healthy life, early diabetes detection is very essential. As the occurrence of diabetes is rapidly growing, this condition is a matter of global concern. The exponential development in Machine Learning has been applied to many fields of medical health. We have gathered a dataset called Pima Indian diabetes dataset, followed by feature extraction and evaluation of performance, precision, accuracy, recall, and f1score of various Machine Learning models.

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How to Cite
Dr. G. Naveen Sundar, Dr. D. Narmadha, Dona Davis, Helan Selvin, Dr. V. Ebenezer. (2021). Optimal Machine Learning Model for Diabetes Disease Prediction. Annals of the Romanian Society for Cell Biology, 14925–14938. Retrieved from http://annalsofrscb.ro/index.php/journal/article/view/4837
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