Abstract: Diabetes affects millions of people around the world with a significant economic, physical, social and psychological burden leading to avoidable suffering, disability and sometimes mortality. This significant burden is exacerbated in less developed countries by the chronic and seemingly intractable dearth of qualified medical practitioners. Given accurate diagnoses and predictions, efficacious life-saving therapies could be developed. This paper presents a module for the diagnosis of diabetes within the framework of a modular, extensible and comprehensive artificial intelligence-driven healthcare system.
Keywords: Diabetes, Artificial Intelligence, Deep Learning, Healthcare System.
| DOI: 10.17148/IJARCCE.2024.13802