A REVIEW ON DIABETES PREDICTION USING MACHINE LEARNING ON HEALTHCARE BIG DATA

Diabetes of type 2 is one of the world's most frequent medical disorders. Diabetes diagnosis for numerous years in recent years. Deep Learning's (DL) increase in difficulty has prompted researchers to try and solve the difficult challenges To now, the model has attained a precision of 0.011 percent. The approach obtained uses a set of ML algorithms, many never utilised to address this problem. It is therefore fascinating to explore their ability to forecast diabetes. Furthermore, no current work compares and reviews all combined proposals for modelling and technique. 6 years: 6 years: This article discussed all of the strategies for ML and DL prediction. In addition, the purpose of applying unusual ML classifications to the Pima Indians was to improve their efficiency. While the classifiers have attained a rating of 68-74 percent, this paper recommends the use of these classifiers in a more complete diabetes prediction.