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WEBINAR: Digital Epidemiology: designing machine learning approaches to combine Internet-based data
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Mauricio Santillana, MS, PhD will describe machine learning methodologies that leverage Internet-based information from search engines, twitter microblogs, crowd-sourced disease surveillance systems, electronic medical records, and historical synchronicities in disease activity across spatial regions, to successfully monitor and forecast disease outbreaks in multiple locations around the globe in near real-time.

5/24/2018
When: Thursday, May 24, 2018
From 11 am - 12:30 pm ET
Where: https://attendee.gotowebinar.com/register/9059060310183946755
United States
Contact: Catherine Tong

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Registration Link

https://attendee.gotowebinar.com/register/9059060310183946755

Full Title

Digital Epidemiology: designing machine learning approaches to combine Internet-based data sources to monitor and forecast disease activity in multiple locations and spatial resolutions.

Description

I will describe machine learning methodologies that leverage Internet-based information from search engines, twitter microblogs, crowd-sourced disease surveillance systems, electronic medical records, and historical synchronicities in disease activity across spatial regions, to successfully monitor and forecast disease outbreaks in multiple locations around the globe in near real-time.

Presenter

Mauricio Santillana, MS, PhD is a physicist and applied mathematician with expertise in mathematical modeling and scientific computing. He has worked in multiple research areas frequently analyzing big data sets to understand and predict the behavior of complex systems. Mauricio enjoys working with policy makers, epidemiologists, and clinicians in the design of decision-making support tools.

Contact Us

INTERNATIONAL SOCIETY FOR
DISEASE SURVEILLANCE

288 Grove St, Box 203
Braintree, MA 02184
(617) 779 - 0880
Email: syndromic@syndromic.org

 

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