SDNS: Artificial Neural Network Scheme to Solve the Nonlinear Skin Disease Model

Abstract

In the area of medical diagnosis, there has been a need for accurate anomaly detection and disease classification. Data-driven diagnosis is necessary since skin disorders tend to take many different forms, there aren't enough skilled dermatologists, and they're scattered inaccurately. It is important to diagnose and treat skin diseases promptly, but some conditions may not present symptoms right away, which can complicate treatment for certain patients. The patients are also concerned about the treatment and diagnosis. This makes patients a lot harder to reach out to doctors in-order for diagnosis thus an automation is required which gives the results based upon pictures taken personally.