Extracting medication information from unstructured public health data: a demonstration on data from population-based and tertiary-based samples

Extracting medication information from unstructured public health data: a demonstration on data from population-based and tertiary-based samples

Abstract Background Unstructured data from clinical epidemiological studies can be valuable and easy to obtain. However, it requires further extraction and processing for data analysis. Doing this manually is labor-intensive, slow and subject to error. In this study, we propose an automation framewo...

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Bibliographic Details
Main Authors: Robert Chen, Joyce C. Ho, Jin-Mann S. Lin
Format: Article
Language:English
Published: BMC 2020-10-01
Series:BMC Medical Research Methodology
Subjects:
Automation
Data extraction
Unstructured data
Medication
Natural language processing
Mylagic encephalomyelitis/chronic fatigue syndrome (ME/CFS)
Online Access:http://link.springer.com/article/10.1186/s12874-020-01131-7

Internet

http://link.springer.com/article/10.1186/s12874-020-01131-7

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