Natural language processing for populating lung cancer clinical research data

BACKGROUND: Lung cancer is the second most common cancer for men and women; the wide adoption of electronic health records (EHRs) offers a potential to accelerate cohort-related epidemiological studies using informatics approaches. Since manual extraction from large volumes of text materials is time...

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Detalles Bibliográficos
Autores principales: Wang, Liwei, Luo, Lei, Wang, Yanshan, Wampfler, Jason, Yang, Ping, Liu, Hongfang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894100/
https://www.ncbi.nlm.nih.gov/pubmed/31801515
http://dx.doi.org/10.1186/s12911-019-0931-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894100/
https://www.ncbi.nlm.nih.gov/pubmed/31801515
http://dx.doi.org/10.1186/s12911-019-0931-8

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