Machine learning for patient risk stratification for acute respiratory distress syndrome.
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| Title: | Machine learning for patient risk stratification for acute respiratory distress syndrome. |
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| Authors: | Zeiberg D; Computer Science and Engineering, University of Michigan, Ann Arbor, MI, United States of America., Prahlad T; Computer Science and Engineering, University of Michigan, Ann Arbor, MI, United States of America., Nallamothu BK; Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States of America.; Institute for Healthcare Policy & Innovation, University of Michigan, Ann Arbor, MI, United States of America.; VA Center for Clinical Management Research, US Department of Veterans Affairs, Ann Arbor, MI, United States of America.; Michigan Integrated Center for Health Analytics and Medical Prediction, University of Michigan, Ann Arbor, MI, United States of America., Iwashyna TJ; Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States of America.; Institute for Healthcare Policy & Innovation, University of Michigan, Ann Arbor, MI, United States of America.; VA Center for Clinical Management Research, US Department of Veterans Affairs, Ann Arbor, MI, United States of America.; Michigan Integrated Center for Health Analytics and Medical Prediction, University of Michigan, Ann Arbor, MI, United States of America.; Institute for Social Research, University of Michigan, Ann Arbor, MI, United States of America., Wiens J; Computer Science and Engineering, University of Michigan, Ann Arbor, MI, United States of America.; Michigan Integrated Center for Health Analytics and Medical Prediction, University of Michigan, Ann Arbor, MI, United States of America., Sjoding MW; Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States of America.; Institute for Healthcare Policy & Innovation, University of Michigan, Ann Arbor, MI, United States of America.; Michigan Integrated Center for Health Analytics and Medical Prediction, University of Michigan, Ann Arbor, MI, United States of America.; Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, United States of America. |
| Source: | PloS one [PLoS One] 2019 Mar 28; Vol. 14 (3), pp. e0214465. Date of Electronic Publication: 2019 Mar 28 (Print Publication: 2019). |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. |
| 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.0214465 |
