Abstract:In the current scenario, diabetes is considered as a widely spread disease globally. This issue is a matter of great concern and the disease is spreading at an alarming rate across the country. We can analyse, visualize the data appropriately and forecast the chances of having diabetes for a person, with the highest level of accuracy and exactness. This indefatigable investigation and papers aim to analyze, compare different neural networks, machine learning algorithms and classifiers which can predict the pro… Show more
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