Identifying patients who meet criteria for genetic testing of hereditary cancers based on structured and unstructured family health history data in the electronic health record: natural language processing approach

HIGHLIGHTS

• who: Unknown from the United States Division of Epidemiology, Department of Internal Medicine, School of Medicine, University of Utah, Salt Lake City, UT, United States have published the research: Identifying Patients Who Meet Criteria for Genetic Testing of Hereditary Cancers Based on Structured and Unstructured Family Health History Data in the Electronic Health Record: Natural Language Processing Approach, in the Journal: (JOURNAL) of April/30,/2019
• what: When designing the schema for annotation, the authors aimed to capture as much useful information as possible. This study demonstrated that the NLP solution can accurately extract FHH . . .
  

   

  

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