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Open Access
Peer-reviewed
Research Article
Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives
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Sebastian Gehrmann ,
Roles Data curation, Investigation, Methodology, Project administration, Software, Visualization, Writing – original draft, Writing – review & editing
* E-mail: gehrmann@seas.harvard.edu
Affiliations MIT Critical Data, Laboratory for Computational Physiology, Cambridge, MA, United States of America, Harvard SEAS, Harvard University, Cambridge, MA, United States of America
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Franck Dernoncourt,
Roles Data curation, Investigation, Methodology, Writing – review & editing
Affiliations MIT Critical Data, Laboratory for Computational Physiology, Cambridge, MA, United States of America, Massachusetts Institute of Technology, Cambridge, MA, United States of America, Adobe Research, San Jose, CA, United States of America
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Yeran Li,
Roles Data curation, Software
Affiliations MIT Critical Data, Laboratory for Computational Physiology, Cambridge, MA, United States of America, Harvard T.H. Chan School of Public Health, Cambridge, MA, United States of America
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Eric T. Carlson,
Roles Data curation, Formal analysis, Investigation
Affiliations MIT Critical Data, Laboratory for Computational Physiology, Cambridge, MA, United States of America, Philips Research North America, Cambridge, MA, United States of America
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Joy T. Wu,
Roles Data curation, Project administration, Writing – review & editing
Affiliations MIT Critical Data, Laboratory for Computational Physiology, Cambridge, MA, United States of America, Harvard T.H. Chan School of Public Health, Cambridge, MA, United States of America
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Jonathan Welt,
Roles Data curation, Writing – review & editing
Affiliations MIT Critical Data, Laboratory for Computational Physiology, Cambridge, MA, United States of America, Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA, United States of America
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John Foote Jr.,
Roles Data curation
Affiliations MIT Critical Data, Laboratory for Computational Physiology, Cambridge, MA, United States of America, Tufts University School of Medicine, Cambridge, MA, United States of America
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Edward T. Moseley,
Roles Data curation, Formal analysis, Investigation, Software, Writing – review & editing
Affiliations MIT Critical Data, Laboratory for Computational Physiology, Cambridge, MA, United States of America, College of Science and Mathematics, University of Massachusetts, Boston, MA, United States of America
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David W. Grant,
Roles Data curation, Writing – review & editing
Affiliations MIT Critical Data, Laboratory for Computational Physiology, Cambridge, MA, United States of America, Department of Surgery, Division of Plastic and Reconstructive Surgery, Washington University School of Medicine, St. Louis, MO, United States of America
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Patrick D. Tyler,
Roles Data curation, Writing – review & editing
Affiliations MIT Critical Data, Laboratory for Computational Physiology, Cambridge, MA, United States of America, Department of Internal Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States of America
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Leo A. Celi
Roles Funding acquisition, Project administration, Supervision, Writing – review & editing
Affiliations MIT Critical Data, Laboratory for Computational Physiology, Cambridge, MA, United States of America, Massachusetts Institute of Technology, Cambridge, MA, United States of America
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Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives
- Sebastian Gehrmann,
- Franck Dernoncourt,
- Yeran Li,
- Eric T. Carlson,
- Joy T. Wu,
- Jonathan Welt,
- John Foote Jr.,
- Edward T. Moseley,
- David W. Grant,
- Patrick D. Tyler
- Published: February 15, 2018
- https://doi.org/10.1371/journal.pone.0192360