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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… Presented January 26, 2017. This presentation will describe the steps involved … Presented January 26, 2017. This presentation will describe the steps involved … -
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… such as droughts and increased wildfire activity due to decades of warmer temperatures [Joyce 2014]. As part … may update individual visit data, providing discharge (i.e., post-visit) diagnosis codes (i.e., diagnosis or external cause codes). Analysis of …