Efficient and Accurate Extracting of Unstructured EHRs on Cancer Therapy Responses for the Development of RECIST Natural Language Processing Tools: Part I, the Corpus

PURPOSE: Electronic health records (EHRs) are created primarily for nonresearch purposes; thus, the amounts of data are enormous, and the data are crude, heterogeneous, incomplete, and largely unstructured, presenting challenges to effective analyses for timely, reliable results. Particularly, resea...

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Detalles Bibliográficos
Autores principales: Li, Yalun, Luo, Yung-Hung, Wampfler, Jason A., Rubinstein, Samuel M., Tiryaki, Firat, Ashok, Kumar, Warner, Jeremy L., Xu, Hua, Yang, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Clinical Oncology 2020
Materias:
ORIGINAL REPORTS
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7265793/
https://www.ncbi.nlm.nih.gov/pubmed/32364754
http://dx.doi.org/10.1200/CCI.19.00147

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7265793/
https://www.ncbi.nlm.nih.gov/pubmed/32364754
http://dx.doi.org/10.1200/CCI.19.00147

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