Displaying results 1 - 2 of 2
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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… 14.6 (13.6-15.7) 0.94 Boys 25.4 (23.5-27) 24.1 (22.3-26.1) 0.95 Girls 5.5 (4.6-6.5) 4.9 (4.1-5.9) 0.89 … Pros: easy to use, variety of established classifiers Cons: could lead to very “wide” datasets; sensitive to … Facebook Fasttext, and RNN-LSTM or CNN models (i.e., “deep learning”) Distributed word embeddings (300D … -
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… Am J Prev Med. 2011;40(4):486-93. A general answer to all the submitted questions: It depends Will focus on … special servers/hardware? Can do a lot with a new-ish PC (multi-core CPU and 8-16GB RAM) Things that matter: – …