Machine Learning Prediction Models Through the Performance Evaluation of Diabetic Classification: A Survey

Authors

  • G Vijaya Kumar
  • Patil Manogna K

Abstract

In the field of health research, the health system utilizing advanced computer technology is the most essential research requirement. Researchers in the field of informatics and healthcare are constantly working together to develop more advanced technologies for such systems. Recent World Health Organization studies show an increase in the number of diabetic patients and their mortality. Diabetes is one of the major diseases and has far-reaching complications. To make the medical information a great deal, it is important to collect, store, study and evaluate the health of these patients through continuous monitoring and technological innovation. The alarming rise in the number of diagnostic patients has becomes a major concern. Through innovation, it is important to set up a system for storing and monitoring diabetes information, and more serious dangers can be discovered. Early detection and analysis remain a challenge for researchers. This survey paper provides an ongoing study on diabetes detection and suggested structures.

Keywords: classification, diabetes, machine learning, performance, predictive analytics.

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Published

2020-01-08

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Section

Articles