Hyperglycemia Prediction Using Machine Learning: A Probabilistic Approach

  • Vishwas AgrawalEmail author
  • Pushpa Singh
  • Sweta Sneha
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1046)


The incidence of diabetes is on the rise all over the globe. Therefore, a proper approach is necessary to identify the diabetic patients at the earliest and provide appropriate lifestyle intervention in preventing or postponing the onset of diabetes. Hyperglycemia and hypoglycemia are two important consequences of diabetes computed on the basis of blood glucose level. In this paper, we propose a machine learning approach to identify the probability of occurrence of hyperglycemia with the impact of physical activity (exercise). This prediction will be helpful in order to reduce the risk factor of hyperglycemia by timely taken preventive step and changing their lifestyle.


Diabetes Machine learning Hyperglycemia Blood glucose level Exercise Probability 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Cochin University of Science and TechnologyKochiIndia
  2. 2.IEC College of Engineering and TechnologyGreater NoidaIndia
  3. 3.Kennesaw State UniversityKennesawUSA

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