Editor
A study by the Regenstrief Institute and Indiana University has demonstrated the potential of using natural language processing technology to extract social risk factor information from clinical notes.
The NLP system developed by the research team can “read” and identify keywords or phrases indicating housing or financial needs (for example, a lack of a permanent address) and deliver highly accurate performance, the institutions reported.
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