International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 186 - Number 74 |
Year of Publication: 2025 |
Authors: Sudhakar Sundararajan, Manorama Srinath, Mohan V. |
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Sudhakar Sundararajan, Manorama Srinath, Mohan V. . DESDIAB - Diagnostic an Expert System for Diabetes. International Journal of Computer Applications. 186, 74 ( Mar 2025), 24-36. DOI=10.5120/ijca2025924605
Health information plays a crucial role in our society, and the demand for reliable medical knowledge has skyrocketed in recent years. To meet this pressing need, innovative expert systems have been developed for various diseases, offering invaluable knowledge and support for diagnosis and treatment. Among these is "DESDIAB-Diagnostic an Expert System for Diabetes," designed specifically to tackle one of the most prevalent diseases, known for its serious health complications. This groundbreaking system aids in the diagnosis of all diabetes types by analyzing a wide range of symptoms, empowering patients and healthcare providers alike. DESDIAB is not just a tool; it's a transformative resource that enables users to take control of their diabetes management and its potential complications. While primarily aimed at physicians, healthcare managers, and professionals, it also extends its wealth of information to students, researchers, and the general public. By bridging the technology gap, DESDIAB ensures that everyone can access essential health information, fostering informed decision-making and improving health outcomes for all. Embrace the future of diabetes care with DESDIAB—where knowledge meets empowerment!