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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...
Autores principales: | Li, Shicheng, Deng, Lizong, Zhang, Xu, Chen, Luming, Yang, Tao, Qi, Yifan, Jiang, Taijiao |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
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Materias: | |
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 |
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