Deep Phenotyping of Chinese Electronic Health Records by Recognizing Linguistic Patterns of Phenotypic Narratives With a Sequence Motif Discovery Tool: Algorithm Development and Validation

BACKGROUND: Phenotype information in electronic health records (EHRs) is mainly recorded in unstructured free text, which cannot be directly used for clinical research. EHR-based deep-phenotyping methods can structure phenotype information in EHRs with high fidelity, making it the focus of medical i...

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Detalles Bibliográficos
Autores principales: Li, Shicheng, Deng, Lizong, Zhang, Xu, Chen, Luming, Yang, Tao, Qi, Yifan, Jiang, Taijiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206202/
https://www.ncbi.nlm.nih.gov/pubmed/35657661
http://dx.doi.org/10.2196/37213

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206202/
https://www.ncbi.nlm.nih.gov/pubmed/35657661
http://dx.doi.org/10.2196/37213

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