Automatic recognition of self-acknowledged limitations in clinical research literature.

Journal: Journal of the American Medical Informatics Association : JAMIA

Published Date: Jul 1, 2018

Abstract

OBJECTIVE: To automatically recognize self-acknowledged limitations in clinical research publications to support efforts in improving research transparency.

Authors

Halil Kilicoglu

School of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL 61820, United States.
Graciela Rosemblat

Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, 8600 Rockville Pike, Bethesda, 20894, MD, USA.
Mario Malicki

Department of General Practice, Academic Medical Center, Amsterdam, The Netherlands.
Gerben Ter Riet

Department of General Practice, Academic Medical Center, Amsterdam, The Netherlands.

Keywords

Biomedical Research Logistic Models Machine Learning Natural Language Processing Publications PubMed Support Vector Machine

External Resources

View on PubMed Access via DOI PubMed (29718377)

Automatic recognition of self-acknowledged limitations in clinical research literature.

Abstract

Authors

Keywords

External Resources

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