Forecasting the 2017-2018 Yemen Cholera Outbreak with Machine Learning

no code implementations • 16 Feb 2019 • Rohil Badkundri, Victor Valbuena, Srikusmanjali Pinnamareddy, Brittney Cantrell, Janet Standeven

To address the need for a complex, reliable model, we offer the Cholera Artificial Learning Model (CALM); a system of 4 extreme-gradient-boosting (XGBoost) machine learning models that forecast the number of new cholera cases a Yemeni governorate will experience from a time range of 2 weeks to 2 months.

BIG-bench Machine Learning Feature Engineering