Displaying results 1 - 2 of 2
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Human-learned lessons about machine learning in public health surveillance
Content Type: Webinar
Presented December 13, 2018. For public health surveillance, is machine learning worth the effort? What methods are relevant? Do you need special hardware? This talk was motivated by these and other questions asked by ISDS members. It will focus… read more… what was the reported blood pressure during last office visit? – [Unsupervised learning] Represent patterns and … might perform better than manual syndromes than others? Hard to predict, but some thoughts: – How complex is the … how it will work: – If it will run on data from multiple sites/states, will the training data reflect all the sites? … -
Rapid classification of autism for public health surveillance
Content Type: Webinar
This presentation given August 3, 2017 describes work toward applying machine learning methods to CDC’s autism surveillance program. CDC’s population-based autism surveillance is labor-intensive and costly, as it requires clinicians to manually… read more… of ASD evaluations reviewed by Georgia ADDM Network site, 2000-2010 Timeline of ADDM ASD surveillance reports … 10,000 trees initially Training Data: 2008 Georgia ADDM site • 1,162 children (601 met ASD case status) • 5,396 … symptom-specific algorithms 2. Test across surveillance sites and years 3. Make tools and processes scalable and …