Yetunde Enigbokan

Interpretable Machine Learning for Mortality Risk Stratification in Hantavirus Infection: A Global Study Across Hemorrhagic Fever with Renal Syndrome and Hantavirus Cardiopulmonary Syndrome

An interpretable machine learning framework for mortality risk stratification using a global hantavirus epidemiology dataset is developed and external validation in independent cohorts supports the use of interpretable ML as a practical framework for early hantavirus risk stratification.