Cargando…
Correction: 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
Autores principales: | Shi, Jianlin, Morgan, Keaton L, Bradshaw, Richard L, Jung, Se-Hee, Kohlmann, Wendy, Kaphingst, Kimberly A, Kawamoto, Kensaku, Fiol, Guilherme Del |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9516360/ https://www.ncbi.nlm.nih.gov/pubmed/36099593 http://dx.doi.org/10.2196/42533 |
Ejemplares similares
-
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
por: Shi, Jianlin, et al.
Publicado: (2022) -
Correction: Extracting Family History Information From Electronic Health Records: Natural Language Processing Analysis
por: Rybinski, Maciej, et al.
Publicado: (2021) -
Correction: Identifying COVID-19 Outbreaks From Contact-Tracing Interview Forms for Public Health Departments: Development of a Natural Language Processing Pipeline
por: Caskey, John, et al.
Publicado: (2022) -
Correction: Evaluation Criteria for Weight Management Apps: Validation Using a Modified Delphi Process
por: Robles, Noemí, et al.
Publicado: (2023) -
Correction: Building a Digital Tool for the Adoption of the World Health Organization’s Antenatal Care Recommendations: Methodological Intersection of Evidence, Clinical Logic, and Digital Technology
por: Haddad, Samira M, et al.
Publicado: (2020)