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Machine learning models trained using state-wide health information exchange data can actually predict a patient's likelihood of being hospitalized with COVID-19.


By leveraging the tool, one can use the official epidemiological data to forecast the epidemic curves (daily new cases) of the COVID-19. The tool will accurately forecast infections, deaths, and recovery timelines of the COVID-19.

Business Value

The tool will enable the world to better understand the spread of the virus. The COVID-19 forecasts produced by the models give researchers, public health experts, and organizations information that can help them with resource planning and allocation, and early outbreak detection. It would also revolutionize the way we track other infectious diseases, including the flu.

H2O's AI and Data Approaches

This solution  is powered by the H2O AI Cloud Driverless AI AutoML, and Wave. The data science approaches include regression, classification, time series, stacked ensembles, SEIRD, power growth, and advanced feature engineering.



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