Augmenting existing deterioration indices with chest radiographs to predict clinical deterioration.
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| Title: | Augmenting existing deterioration indices with chest radiographs to predict clinical deterioration. |
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| Authors: | Mu E; Department of Computer Science and Electrical Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States of America., Jabbour S; Division of Computer Science and Engineering, University of Michigan College of Engineering, Ann Arbor, MI, United States of America., Dalca AV; Department of Computer Science and Electrical Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States of America.; Martinos Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America., Guttag J; Department of Computer Science and Electrical Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States of America., Wiens J; Division of Computer Science and Engineering, University of Michigan College of Engineering, Ann Arbor, MI, United States of America.; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, United States of America., Sjoding MW; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, United States of America.; Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, United States of America. |
| Source: | PloS one [PLoS One] 2022 Feb 15; Vol. 17 (2), pp. e0263922. Date of Electronic Publication: 2022 Feb 15 (Print Publication: 2022). |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; 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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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0263922 |
