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An Extensive Survey on Recent Machine Learning Algorithms for Diabetes Mellitus Prediction

  • R. Thanga SelviEmail author
  • I. MuthulakshmiEmail author
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 33)

Abstract

Presently, the number of people affected by Diabetes Mellitus (DM) is significantly increased because of the presence of high blood sugar level because of the failure of pancreas to generate enough insulin. DM is one of the chronic diseases and is widely spread all over the word. In recent days, there is an exponential growth in the number of researches carried out in this field because of the DM leads to death causing disease like heart stroke, eye blindness, etc. So, the prediction of DM at the earlier stage is highly useful to prevent the increasing mortality rate. Numerous data mining and machine learning (ML) models has been developed to diagnose, and handle DM. Keeping this in mind, in this paper, we try to review the recently developed ML and data mining models to predict DM. The existing DM prediction techniques in different aspects have been reviewed and a detailed comparison is also made at the end of the survey.

Keywords

Classification Data mining Diabetes Machine learning 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of CSEV V College of EngineeringTisaiyanvilaiIndia

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