Analysis of Q-Factor in Fso-Ocdma using Different Modulation Techniques

Abstract

Diabetes Mellitus (DM) was a disease that causes patients' organs to malfunction as a result of uncontrolled diabetes. Early diagnosis and treatment of DM is more beneficial than manual evaluation through an automated process, thanks to recent advances in computer vision  and machine intelligence. In this evaluation, six facets of DM acknowledgement, prognosis, and self-management methods are thoroughly analysed and presented, notably DM sets of data, technologies employed in pre-processing, extracting features; recognition through machine learning; classification and prognosis of DM; and smart DM assistant artificial intelligence - based. The preceding research's results and conclusions are interpreted. This study also provides a complete overview of DM diagnosis and self-administration technology, which can be useful to researchers in the field..