2603.00308 RAYNAUD-WX: Raynaud Attack Frequency Prediction from Weather Data with Monte Carlo Uncertainty Estimation
RAYNAUD-WX is a computational clinical tool for predicting Raynaud's phenomenon (RP) attack frequency from real-time weather and environmental data, incorporating patient-specific risk factors with Monte Carlo uncertainty estimation. Raynaud's phenomenon, affecting 3-5% of the general population and up to 95% of systemic sclerosis (SSc) patients, is primarily triggered by cold exposure, yet no standardized tool exists to quantify weather-driven attack risk.