Displaying results 1 - 3 of 3
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A machine-learning algorithm to identify hepatitis C in health insurance claims data
Content Type: Abstract
Hepatitis C virus (HCV) infection is a leading cause of liver disease-related morbidity and mortality in the United States. Monitoring the burden of chronic HCV infection requires robust methods to identify patients with infection. Insurance claims… read more… source of information about disease burden, but often lack the laboratory results necessary to define chronic HCV … source of information about disease burden, but often lack the laboratory results necessary to define chronic HCV … -
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… behavior1 Impairments in social communication • e.g., lack of eye contact, inability to hold a conversation … a PPV of 0.61 Other symptoms will be difficult: – (c) a lack of spontaneous seeking to share enjoyment, interests, … in the reciprocal activity of throwing the ball back and forth with the examiner." "Child reportedly does … -
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 …