Additional file 1: of Using natural language processing and machine learning to identify breast cancer local recurrence

Zexian Zeng (Contributor)
Sasa Espino (Contributor)
Ankita Roy (Contributor)
Xiaoyu Li (Contributor)
Seema A Khan (Creator)
Susan E Clare (Creator)
Xia Jiang (Creator)
Richard Neapolitan (Creator)
Yuan Luo (Creator)

Dataset

Description

Table S1. Positive sentences. We went through a development corpus of 50 randomly selected positive progress notes and extracted partial sentences that indicated a breast cancer local recurrence event. (XLS 27 kb)

Date made available	2018
Publisher	figshare

DOI
10.6084/m9.figshare.7528163

Access Dataset

Creative Commons Attribution 4.0 International

1 Article

Using natural language processing and machine learning to identify breast cancer local recurrence
Zeng, Z., Espino, S., Roy, A., Li, X., Khan, S. A., Clare, S. E., Jiang, X., Neapolitan, R. & Luo, Y., Dec 28 2018, In: BMC bioinformatics. 19, 498.
Research output: Contribution to journal › Article › peer-review

Open Access
57 Scopus citations

Cite this

Zeng, Z. (Contributor), Espino, S. (Contributor), Roy, A. (Contributor), Li, X. (Contributor), Khan, S. A. (Creator), Clare, S. E. (Creator), Jiang, X. (Creator), Neapolitan, R. (Creator), Luo, Y. (Creator) (2018). Additional file 1: of Using natural language processing and machine learning to identify breast cancer local recurrence. figshare. 10.6084/m9.figshare.7528163

Additional file 1: of Using natural language processing and machine learning to identify breast cancer local recurrence

Description

DOI

Access Dataset

Research output

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

Cite this