Article

AI for Early Warning of Seasonal Infectious Disease: Shapely Additive Explanations Improves Prediction of Extraordinary West Nile virus Events in Europe

2020-09-01

Abstract excerpt

West Nile virus disease is a growing issue with devastating outbreaks and linkage to climate. It’s a complex disease with many factors contributing to emergence and spread. High-performance machine learning models, such as XGBoost, hold potential for development of predictive models which performs well with complex diseases like West Nile virus disease. Such models furthermore allow for expanded ability to discove...

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Literature Corpus work: 52233cfd-9760-5ab0-a196-0c6f6457b422
DOI: 10.1101/2020.08.27.20183327

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AI for Early Warning of Seasonal Infectious Disease: Shapely Additive Explanations Improves Prediction of Extraordinary West Nile virus Events in EuropeDOI 10.1101/2020.08.27.20183327Read

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