Text mining in a literature review of urothelial cancer using topic model
Abstract Background Urothelial cancer (UC) includes carcinomas of the bladder, ureters, and renal pelvis. New treatments and biomarkers of UC emerged in this decade. To identify the key information in a vast amount of literature can be challenging. In this study, we use text mining to explore UC pub...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2020-05-01
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Series: | BMC Cancer |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12885-020-06931-0 |