Return to page

USE CASE

Objective

Companies are leveraging AI, and machine learning to create infectious disease forecasting. For flu predictions, researchers use data sets, Google searches, doctor's visits and academic research. ML can be leveraged to find hidden patterns within masses of disease indicator data.

Outcome

The application of machine learning and the use of artificial intelligence is currently changing the way the spread of the diseases is addressed by modelling the course of the virus and finding new strategies for containment. The information can be used for predictive models that forecast when and where flu activity increases in states and cities around the country.

Business Value

Forecasting saves lives, as public measures can be taken to keep people safe. The CDC estimates that between 12,000 and 61,000 people die each year from the flu.

H2O's AI and Data Approaches

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

 

Resources

Get Started with H2O.ai for Free

Start Your 90-day Free Trial Today

Get free, hands-on experience with the H2O AI Cloud. The H2O AI Cloud is an end-to-end platform that enables organizations to rapidly build world-class AI models and applications in the cloud or on premises.

Request an H2O AI Cloud Demo

We’re here to help you get started with H2O AI Cloud. Our demos will walk you through the capabilities of the platform and AI applications. We will help you determine how H2O AI Cloud can solve your organization’s specific challenges.