Publications by authors named "James Lavinder"
Background: Systematic Reviews (SR), studies of studies, use a formal process to evaluate the quality of scientific literature and determine ensuing effectiveness from qualifying articles to establish consensus findings around a hypothesis. Their value is increasing as the conduct and publication of research and evaluation has expanded and the process of identifying key insights becomes more time consuming. Text analytics and machine learning (ML) techniques may help overcome this problem of scale while still maintaining the level of rigor expected of SRs.
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- In 2016, the CDC began tracking pregnant women infected with Zika virus and their infants across the U.S. to identify Zika-associated birth defects through manual review of medical data.
- As the number of reported cases increased during the outbreak, the surveillance system faced challenges, leading to the exploration of machine learning as a way to predict case status.
- Ensemble machine learning models were developed to effectively identify cases with high sensitivity, resulting in significant reductions in the amount of data requiring manual review, indicating a promising approach for future public health emergencies.