Natural language processing for populating lung cancer clinical research data

Natural language processing for populating lung cancer clinical research data

Abstract Background Lung cancer is the second most common cancer for men and women; the wide adoption of electronic health records (EHRs) offers a potential to accelerate cohort-related epidemiological studies using informatics approaches. Since manual extraction from large volumes of text materials...

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Bibliographic Details
Main Authors: Liwei Wang, Lei Luo, Yanshan Wang, Jason Wampfler, Ping Yang, Hongfang Liu
Format: Article
Language:English
Published: BMC 2019-12-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Natural language processing
Lung cancer
Stage
Histology
Tumor grade
Treatments
Online Access:https://doi.org/10.1186/s12911-019-0931-8

Internet

https://doi.org/10.1186/s12911-019-0931-8

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