SyMPox: An Automated Monkeypox Detection System Based on Symptoms Using
  XGBoost
Alireza Farzipour Roya Elmi Hamid Nasiri
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.