Using a natural language processing system to extract and code family history data from admission reports
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Updated: Jul 17, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Jeff Friedlin1, Clement J McDonald
1Regenstrief Institute, Inc, Indiana University School of Medicine, Indianapolis, IN, USA.
Abstract:
We developed a rule-based natural language processing (NLP) system for extracting and coding clinical data from free text reports. We studied the systems ability to accurately extract and code family history data from hospital admission notes. The system searches the family history for 12 diseases (and relative degree). It achieved a sensitivity of .96 and a PPV of .97 for disease extraction, and .96 and .93 respectively for relative categorization.
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