The researchers use a text-mining algorithm to prioritize research papers to read and include in their Comparative Toxicogenomics Database (CTD), a public database that manually curates and codes ...

The authors developed a text mining algorithm to detect disease progression in electronic health data—this is in itself very useful; the authors went one step further and demonstrated that the ...

Text Mining Algorithm Discotex (Dis-Covery From Text Extraction) With Information Extraction Text mining concerns looking for patterns in unstructured text.

An algorithm to extract data from free text in electronic health records may be an invaluable aid in conducting research, according to new research out of University College London.

A text mining algorithm for capturing disease progression was developed in hospitals 1 and 2 and then transferred to hospitals 3 and 4 to evaluate portability. Performance metrics were calculated by ...

Researchers at North Carolina State University have developed a new text mining algorithm that can help identify the most relevant scientific research.

Text analytics and text mining have until recently remained on the periphery of my interest in enterprise search.

The researchers use a text-mining algorithm to prioritize research papers to read and include in their Comparative Toxicogenomics Database (CTD), a public database that manually curates and codes ...

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 ...