An examination of the use of deep learning techniques to diagnose diabetes mellitus

Abstract

Uncontrolled diabetes is the cause of Diabetes Mellitus DM a condition that results in organ dysfunction in patients Thanks to current developments in computer vision and artificial intelligence early diagnosis and treatment of DM are more advantageous than manual evaluation through an automated method This evaluation thoroughly examines and presents six aspects of DM acknowledgement prognosis and selfmanagement methods including DM data sets preprocessing technologies feature extraction recognition through deep learning classification and DM prognosis and smart artificial intelligencebased DM assistant The findings and recommendations of the previous research are interpreted A comprehensive overview of DM diagnosis and selfadministration technologies is also provided in this paper which can be helpful to field researchers