ABSTRACT
The paper proposes a wearable application system for Internet of Things- (IoT) based skin disease monitoring promoting two levels of classification, first to assist a physician in the diagnosis process and second to accurately track the pattern of recovery by monitoring. This device helps remote patients to attach at a remote location to a skin doctor. A novel approach for monitoring a patient’s rehabilitation pattern is the proposed monitoring of the wearable application of IoT-based skin diseases. With machine learning, the program can identify and avoid skin disease to help doctors diagnose it. This also provides recovery charts based on severity levels in each follow-up plan for each condition. As part of a skin treatment and monitoring program, the suggested method of application can be implemented and referred to a doctor to diagnose and assess the patient more quickly. The device is being developed to collect patient data through image sensors (mobile-based). Automation based on machine learning is applied for skin disease detection and control.
