SyMPox: An Automated Monkeypox Detection System Based on Symptoms Using XGBoost
This provides a faster and more accessible diagnostic tool for individuals with monkeypox symptoms, though it is incremental as it applies an existing algorithm to a new medical domain.
The study tackled the problem of diagnosing monkeypox by developing SyMPox, an automated system that uses XGBoost to analyze symptoms, achieving accurate assessments as a user-friendly application.
Monkeypox is a zoonotic disease. About 87000 cases of monkeypox were confirmed by the World Health Organization until 10th June 2023. The most prevalent methods for identifying this disease are image-based recognition techniques. Still, they are not too fast and could only be available to a few individuals. This study presents an independent application named SyMPox, developed to diagnose Monkeypox cases based on symptoms. SyMPox utilizes the robust XGBoost algorithm to analyze symptom patterns and provide accurate assessments. Developed using the Gradio framework, SyMPox offers a user-friendly platform for individuals to assess their symptoms and obtain reliable Monkeypox diagnoses.