Using natural language processing and machine learning to identify breast cancer local recurrence

BACKGROUND: Identifying local recurrences in breast cancer from patient data sets is important for clinical research and practice. Developing a model using natural language processing and machine learning to identify local recurrences in breast cancer patients can reduce the time-consuming work of a...

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Detalles Bibliográficos
Autores principales: Zeng, Zexian, Espino, Sasa, Roy, Ankita, Li, Xiaoyu, Khan, Seema A., Clare, Susan E., Jiang, Xia, Neapolitan, Richard, Luo, Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6309052/
https://www.ncbi.nlm.nih.gov/pubmed/30591037
http://dx.doi.org/10.1186/s12859-018-2466-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6309052/
https://www.ncbi.nlm.nih.gov/pubmed/30591037
http://dx.doi.org/10.1186/s12859-018-2466-x

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