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Closing the Knowledge Gap
Uncovering hidden knowledge in scientific literature with machine learning.
The rapid pace of publication for scientific papers has a dark side: data overload. This knowledge lag impacts healthcare practitioners, researchers, policymakers and educators.
The Rise of Learning Machines
Machine learning reduces the time and effort required to review scientific literature, identify relevant citations for a specific research question and identify hidden connections between different data sets.
The Power of Natural Language Query
Natural language query allows researchers to ask simple questions using normal language. This allows researchers and practitioners to query the knowledge base directly, without any programming experience.
Case Study: Reducing Research Time for Measure Development
Battelle and the Centers for Medicare & Medicaid Services (CMS) worked to reduce the time it takes to locate and evaluate the most relevant and usable articles for measure development.
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