_data-driven-machine-learning-approaches-to-monitor-and-forecast-the-dynamics-of-disease-outbreaks.jpg "Data-driven machine learning approaches to monitor and forecast the dynamics of disease outbreaks from bill gates foundation covid 19 tests Video Screenshot Preview")
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⏲ Duration: 34 min 19 sec
✓ Published: 04-Jun-2021
✓ Published: 04-Jun-2021
Description:
I will describe data-driven machine learning methodologies that leverage Internet-based information from search engines, Twitter microblogs, crowd-sourced disease surveillance systems, electronic medical records, and weather information to successfully monitor and forecast disease outbreaks in multiple locations around the globe in near real-time. I will present how these approaches can be used to build early warning systems to anticipate COVID-19 outbreaks.nnMauricio Santillana, PhD, is the dir
I will describe data-driven machine learning methodologies that leverage Internet-based information from search engines, Twitter microblogs, crowd-sourced disease surveillance systems, electronic medical records, and weather information to successfully monitor and forecast disease outbreaks in multiple locations around the globe in near real-time. I will present how these approaches can be used to build early warning systems to anticipate COVID-19 outbreaks.nnMauricio Santillana, PhD, is the dir
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