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

Theme Issue 2022: Health Natural Language Processing and Applications (CHIP) (27) Electronic Health Records (1068) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (591) Secondary Use of Clinical Data for Research and Surveillance (375)

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
Article Authors Cited by (4) Tweetations (14) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.