Displaying results 1289 - 1294 of 1294
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Machine Learning in R: Detecting Carbon Monoxide Poisoning in Syndromic Surveillance Data
Content Type: Webinar
Presented January 26, 2017. This presentation will describe the steps involved in machine learning and will include a demo an application to detect carbon monoxide poisoning in the Kansas syndromic surveillance data. read more -
Exploring Chief Complaint Word Co-occurence Visualizations
Content Type: Webinar
Presented October 28, 2016. We are going to briefly explore the tidytext, widyr, and flexdashboard packages to analyze word co-occurrence, look at ngrams, and then visualize the results in word network graphs. Looking at your data in this way can… read more -
Aberration Detection in Public Health Surveillance using the R package surveillance
Content Type: Webinar
Presented September 21, 2015. This session is about the surveillance R package as a tool for performing prospective outbreak detection in routine collected surveillance data. Michael Höhle will discuss the data structure, invocation of… read more -
USDA Veterinary Services and One Health
Content Type: Webinar
The presentation will be an overview of veterinary services, and why one health is important; It will include the role of veterinary services in One Health and examples from the field of veterinary services One Health collaborations. … read more -
Identifying Current Practical Analytic Challenges - the Analytic Solutions Committee
Content Type: Webinar
Presented September 21, 2017. The purpose of this webinar is to introduce the Analytic Solution Committees (ASC) to ISDS members, explaining how the committee works and how it… read more -
A multidisciplinary approach to an outbreak of canid Rabies in Gauteng Province, South Africa
Content Type: Case Study
On 3rd of June, 2010 a sick dog was presented to an Animal Welfare Agency. Biliary treatment unsuccessful and the dog was euthanased and tested positive for Rabies on FAT. In this mixed rural urban area of South Africa Rabies is an occasional… read more