• G.Vinoda Reddy
• Ch. Rekha
• M.Sreenu Naik
• Ms.Syeda Sumaiya Afreen

Machine Learning spreads its wings to not only technical domains and also all domains including medical diagnosis of various chronic diseases. Among which diabetes is one of the major chronic diseases on the globe now a days. Diagnosis of diabetes is an open challenge in spite of in these advanced generations too. In this paper we attempted to have a review on machine learning algorithms and classification techniques for diabetes medical diagnosis. This study focuses on new developments in machine learning which have made significant impacts in the detection and diagnosis of diabetes. In this work, the machine learning algorithms are used to classifying diabetes patients. The classification accuracy is achieved by the classifying diabetes patients. Authors perform a review of the literature on machine models and suggest an intelligent framework for diabetes prediction based on their findings. The idea that had motivated us to present a review of various diabetic prediction models is to address the diabetic prediction problem by identifying, critically evaluating, and integrating the findings of all relevant, high-quality individual studies. In this paper, we have analysed the work done by various authors for diabetes prediction methods. Our analysis on diabetic prediction models was to find out the methods so as to select the best quality researches and to synthesize the different researches. Analysis of diabetes data disease is quite challenging because most of the data in the medical field are nonlinear, correlation structured, and complex in nature. Machine learning-based algorithms have been ruled out in the field of healthcare and medical imaging. We strongly recommend our study because it comprises articles from various sources that will help other researchers on various diabetic prediction models.

Diabetes, classification, prediction, machine learning, accuracy, healthcare

"A Review on Machine Learning Algorithms and Classification Techniques in Diabetes Medical Diagnosis and Healthcare Systems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.a839-a849, June-2022, Available :http://www.jetir.org/papers/JETIR2206096.pdf

"A Review on Machine Learning Algorithms and Classification Techniques in Diabetes Medical Diagnosis and Healthcare Systems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppa839-a849, June-2022, Available at : http://www.jetir.org/papers/JETIR2206096.pdf