Predicting Monkey Pox in Patients using Synthetic Data

Rapid Response to Viral Outbreaks

During the 2022 Monkeypox outbreak, rapid diagnostic tools were urgently needed. In a Kaggle hackathon, participants were tasked with predicting the presence of the disease using a synthetic dataset modeled after real clinical studies.

Model Development

I evaluated multiple classification algorithms to identify complex symptom patterns. The Histogram Gradient Boosting Classifier provided the best performance, handling the nuances of the clinical data efficiently.

Healthcare AI

This project underscores the importance of AI in epidemiology and diagnostics, showcasing how machine learning can assist medical professionals in identifying emerging infectious diseases based on clinical features.