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Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives.

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Title: Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives.
Authors: Gehrmann S; MIT Critical Data, Laboratory for Computational Physiology, Cambridge, MA, United States of America.; Harvard SEAS, Harvard University, Cambridge, MA, United States of America., Dernoncourt F; 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., Li Y; 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., Carlson ET; MIT Critical Data, Laboratory for Computational Physiology, Cambridge, MA, United States of America.; Philips Research North America, Cambridge, MA, United States of America., Wu JT; 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., Welt J; 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., Foote J Jr; MIT Critical Data, Laboratory for Computational Physiology, Cambridge, MA, United States of America.; Tufts University School of Medicine, Cambridge, MA, United States of America., Moseley ET; 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., Grant DW; 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., Tyler PD; 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., Celi LA; MIT Critical Data, Laboratory for Computational Physiology, Cambridge, MA, United States of America.; Massachusetts Institute of Technology, Cambridge, MA, United States of America.
Source: PloS one [PLoS One] 2018 Feb 15; Vol. 13 (2), pp. e0192360. Date of Electronic Publication: 2018 Feb 15 (Print Publication: 2018).
Publication Type: Comparative Study; Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Gehrmann+S%22">Gehrmann S</searchLink>; MIT Critical Data, Laboratory for Computational Physiology, Cambridge, MA, United States of America.; Harvard SEAS, Harvard University, Cambridge, MA, United States of America.<br /><searchLink fieldCode="AU" term="%22Dernoncourt+F%22">Dernoncourt F</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Li+Y%22">Li Y</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Carlson+ET%22">Carlson ET</searchLink>; MIT Critical Data, Laboratory for Computational Physiology, Cambridge, MA, United States of America.; Philips Research North America, Cambridge, MA, United States of America.<br /><searchLink fieldCode="AU" term="%22Wu+JT%22">Wu JT</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Welt+J%22">Welt J</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Foote+J+Jr%22">Foote J Jr</searchLink>; MIT Critical Data, Laboratory for Computational Physiology, Cambridge, MA, United States of America.; Tufts University School of Medicine, Cambridge, MA, United States of America.<br /><searchLink fieldCode="AU" term="%22Moseley+ET%22">Moseley ET</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Grant+DW%22">Grant DW</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Tyler+PD%22">Tyler PD</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Celi+LA%22">Celi LA</searchLink>; 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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