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

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

Abstract 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 w...

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Bibliographic Details
Main Authors: Zexian Zeng, Sasa Espino, Ankita Roy, Xiaoyu Li, Seema A. Khan, Susan E. Clare, Xia Jiang, Richard Neapolitan, Yuan Luo
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BMC Bioinformatics
Subjects:
Breast cancer local recurrence
EHR
NLP
SVM
Online Access:http://link.springer.com/article/10.1186/s12859-018-2466-x

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