This paper is in the following e-collection/theme issue:

Theme Issue 2022: Health Natural Language Processing and Applications (CHIP) (27) Electronic Health Records (1053) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (573) Secondary Use of Clinical Data for Research and Surveillance (366)

Published on in Vol 10, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37842, first published .
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

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

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

Authors of this article:

Jianlin Shi1, 2, 3 Author Orcid Image ;   Keaton L Morgan3, 4 Author Orcid Image ;   Richard L Bradshaw3 Author Orcid Image ;   Se-Hee Jung3, 5 Author Orcid Image ;   Wendy Kohlmann6, 7 Author Orcid Image ;   Kimberly A Kaphingst7, 8 Author Orcid Image ;   Kensaku Kawamoto3 Author Orcid Image ;   Guilherme Del Fiol3 Author Orcid Image
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