-
Loading metrics
Open Access
Peer-reviewed
Research Article
eARDS: A multi-center validation of an interpretable machine learning algorithm of early onset Acute Respiratory Distress Syndrome (ARDS) among critically ill adults with COVID-19
-
Lakshya Singhal ,
Contributed equally to this work with: Lakshya Singhal, Yash Garg, Philip Yang
Roles Methodology
Affiliation Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia, United States of America
⨯ -
Yash Garg ,
Contributed equally to this work with: Lakshya Singhal, Yash Garg, Philip Yang
Roles Methodology
Affiliation Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia, United States of America
⨯ -
Philip Yang ,
Contributed equally to this work with: Lakshya Singhal, Yash Garg, Philip Yang
Roles Investigation, Methodology, Writing – original draft, Writing – review & editing
Affiliation Division of Pulmonary, Critical Care, Allergy, and Sleep Medicine, Emory University School of Medicine, Atlanta, Georgia, United States of America
⨯ -
Azade Tabaie,
Roles Methodology
Affiliation Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia, United States of America
⨯ -
A. Ian Wong,
Roles Methodology
Affiliation Division of Pulmonary, Critical Care, Allergy, and Sleep Medicine, Emory University School of Medicine, Atlanta, Georgia, United States of America
⨯ -
Akram Mohammed,
Roles Methodology
Affiliation Department of Pediatrics, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America
⨯ -
Lokesh Chinthala,
Roles Methodology
Affiliation Department of Pediatrics, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America
⨯ -
Dipen Kadaria,
Roles Methodology, Validation, Writing – review & editing
Affiliation Department of Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America
⨯ -
Amik Sodhi,
Roles Methodology, Validation, Writing – review & editing
Affiliation Department of Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America
⨯ -
Andre L. Holder,
Roles Investigation, Methodology, Validation, Writing – review & editing
Affiliation Division of Pulmonary, Critical Care, Allergy, and Sleep Medicine, Emory University School of Medicine, Atlanta, Georgia, United States of America
⨯ -
Annette Esper,
Roles Methodology, Validation, Writing – review & editing
Affiliation Division of Pulmonary, Critical Care, Allergy, and Sleep Medicine, Emory University School of Medicine, Atlanta, Georgia, United States of America
⨯ -
James M. Blum,
Roles Methodology, Writing – review & editing
Affiliations Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia, United States of America, Department of Anaesthesia, Emory University School of Medicine, Atlanta, Georgia, United States of America
⨯ -
Robert L. Davis,
Roles Methodology, Writing – review & editing
Affiliation Department of Pediatrics, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America
⨯ -
Gari D. Clifford,
Roles Methodology, Writing – review & editing
Affiliations Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia, United States of America, Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America
⨯ -
Greg S. Martin,
Roles Methodology, Validation, Writing – review & editing
Affiliation Division of Pulmonary, Critical Care, Allergy, and Sleep Medicine, Emory University School of Medicine, Atlanta, Georgia, United States of America
⨯ - [ ... ],
-
Rishikesan Kamaleswaran
Roles Conceptualization, Formal analysis, Methodology, Supervision, Validation, Writing – original draft
* E-mail: rkamaleswaran@gatech.edu
Affiliations Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia, United States of America, Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America
⨯ - [ view all ]
- [ view less ]
eARDS: A multi-center validation of an interpretable machine learning algorithm of early onset Acute Respiratory Distress Syndrome (ARDS) among critically ill adults with COVID-19
- Lakshya Singhal,
- Yash Garg,
- Philip Yang,
- Azade Tabaie,
- A. Ian Wong,
- Akram Mohammed,
- Lokesh Chinthala,
- Dipen Kadaria,
- Amik Sodhi,
- Andre L. Holder
- Published: September 24, 2021
- https://doi.org/10.1371/journal.pone.0257056