Developing Customizable Cancer Information Extraction Modules for Pathology Reports Using CLAMP

Natural language processing (NLP) technologies have been successfully applied to cancer research by enabling automated phenotypic information extraction from narratives in electronic health records (EHRs) such as pathology reports; however, developing customized NLP solutions requires substantial ef...

Descripción completa

Detalles Bibliográficos
Autores principales: Soysal, Ergin, Warner, Jeremy L., Wang, Jingqi, Jiang, Min, Harvey, Krysten, Jain, Sandeep Kumar, Dong, Xiao, Song, Hsing-Yi, Siddhanamatha, Harish, Wang, Liwei, Dai, Qi, Chen, Qingxia, Du, Xianglin, Tao, Cui, Yang, Ping, Denny, Joshua Charles, Liu, Hongfang, Xu, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7359882/
https://www.ncbi.nlm.nih.gov/pubmed/31438083
http://dx.doi.org/10.3233/SHTI190383

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7359882/
https://www.ncbi.nlm.nih.gov/pubmed/31438083
http://dx.doi.org/10.3233/SHTI190383

Ejemplares similares