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.
Jianlin ShiKeaton L MorganRichard L BradshawSe-Hee JungWendy K KohlmannKimberly A KaphingstKensaku KawamotoGuilherme Del FiolPublished in: JMIR medical informatics (2022)
Compared with the structured data algorithm, the NLP-augmented algorithm based on both structured and unstructured family health history data in the EHR increased the number of patients identified as meeting the NCCN criteria for genetic testing for hereditary breast or ovarian and colorectal cancers.
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