Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances

[Display omitted] •Natural Language Processing methods can be impactful in health outcomes research.•More rigorous evaluation practices are necessary to advance this field.•Synthetic data and novel governance structures could address data access challenges.•Evaluation workbenches that allow for extr...

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Bibliographic Details
Published in:Journal of biomedical informatics 2018-12, Vol.88, p.11-19
Main Authors: Velupillai, Sumithra, Suominen, Hanna, Liakata, Maria, Roberts, Angus, Shah, Anoop D., Morley, Katherine, Osborn, David, Hayes, Joseph, Stewart, Robert, Downs, Johnny, Chapman, Wendy, Dutta, Rina
Format: Article
Language:English
Subjects:
Algorithms
Clinical informatics
Data Collection - methods
Electronic Health Records
Epidemiology
Evaluation
Humans
Information extraction
Medical Informatics - methods
Medical Informatics - trends
Mental Disorders - therapy
Mental Health Informatics
Mental Health Services - organization & administration
Natural Language Processing
Outcome Assessment, Health Care
Public Health
Reproducibility of Results
Semantics
Text analytics
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