Displaying results 1 - 2 of 2
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Syndromic Surveillance Climate and Health Guidance Document
Content Type: Report
In general, data from public health surveillance can be used for short- and long-term planning and response through retrospective data analysis of trends over time or specific events. Combining health outcome data (e.g., hospitalizations or deaths)… read more -
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