New text-mining algorithm to prioritize research on chemicals, disease for public database

A new text-mining algorithm can help identify the most relevant scientific research for a public database that reveals the effects of environmental chemicals on human health, according to research published April 17 in the open access journal PLOS ONE by Allan Peter Davis, Thomas Wiegers and colleagues from North Carolina State University.

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