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

Author:

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

Funder

European Science Foundation

Wellcome Trust Seed Award in Science

National Institute for Health Research (NIHR) Biomedical Research Centre at South London

Maudsley NHS Foundation Trust and King’s College London

National Institute for Health Research University College London Hospitals Biomedical Research Centre

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference91 articles.

1. Clinical Natural Language Processing in 2014: foundational methods supporting efficient healthcare;Névéol;Yearb. Med. Inform.,2015

2. Recent advances in clinical natural language processing in support of semantic analysis;Velupillai;IMIA Yearb. Med. Inform.,2015

3. Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions;Chapman;J. Am. Med. Inform. Assoc.,2011

4. Natural language processing: State of the art and prospects for significant progress, a workshop sponsored by the National Library of Medicine;Friedman;J. Biomed. Inform.,2013

5. Evaluating the state-of-the-art in automatic de-identification;Uzuner;J. Am. Med. Inform. Assoc.,2007

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