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Michael W. Sjoding
Michael W. Sjoding
Zweryfikowany adres z umich.edu
Tytuł
Cytowane przez
Cytowane przez
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Racial bias in pulse oximetry measurement
MW Sjoding, RP Dickson, TJ Iwashyna, SE Gay, TS Valley
New England Journal of Medicine 383 (25), 2477-2478, 2020
8452020
Lung microbiota predict clinical outcomes in critically ill patients
RP Dickson, MJ Schultz, T Van Der Poll, LR Schouten, NR Falkowski, ...
American journal of respiratory and critical care medicine 201 (5), 555-563, 2020
2382020
IL-17 producing γδ T cells are required for a controlled inflammatory response after bleomycin-induced lung injury
RK Braun, C Ferrick, P Neubauer, M Sjoding, A Sterner-Kock, M Kock, ...
Inflammation 31, 167-179, 2008
1532008
Association of intensive care unit admission with mortality among older patients with pneumonia
TS Valley, MW Sjoding, AM Ryan, TJ Iwashyna, CR Cooke
Jama 314 (12), 1272-1279, 2015
1492015
Longitudinal changes in ICU admissions among elderly patients in the United States
MW Sjoding, HC Prescott, H Wunsch, TJ Iwashyna, CR Cooke
Critical care medicine 44 (7), 1353-1360, 2016
1292016
Lung and gut microbiota are altered by hyperoxia and contribute to oxygen-induced lung injury in mice
SL Ashley, MW Sjoding, AP Popova, TX Cui, MJ Hoostal, TM Schmidt, ...
Science translational medicine 12 (556), eaau9959, 2020
1262020
Interobserver reliability of the Berlin ARDS definition and strategies to improve the reliability of ARDS diagnosis
MW Sjoding, TP Hofer, I Co, A Courey, CR Cooke, TJ Iwashyna
Chest 153 (2), 361-367, 2018
1262018
Evaluating a widely implemented proprietary deterioration index model among hospitalized patients with COVID-19
K Singh, TS Valley, S Tang, BY Li, F Kamran, MW Sjoding, J Wiens, ...
Annals of the American Thoracic Society 18 (7), 1129-1137, 2021
111*2021
Changes in primary noncardiac diagnoses over time among elderly cardiac intensive care unit patients in the United States
SS Sinha, MW Sjoding, D Sukul, HC Prescott, TJ Iwashyna, HS Gurm, ...
Circulation: Cardiovascular Quality and Outcomes 10 (8), e003616, 2017
1082017
Longitudinal respiratory subphenotypes in patients with COVID-19-related acute respiratory distress syndrome: results from three observational cohorts
LDJ Bos, M Sjoding, P Sinha, SV Bhavani, PG Lyons, AF Bewley, M Botta, ...
The lancet Respiratory medicine 9 (12), 1377-1386, 2021
1012021
Racial bias and reproducibility in pulse oximetry among medical and surgical inpatients in general care in the Veterans Health Administration 2013-19: multicenter …
VSM Valbuena, S Seelye, MW Sjoding, TS Valley, RP Dickson, SE Gay, ...
bmj 378, 2022
922022
Machine learning for patient risk stratification for acute respiratory distress syndrome
D Zeiberg, T Prahlad, BK Nallamothu, TJ Iwashyna, J Wiens, MW Sjoding
PloS one 14 (3), e0214465, 2019
922019
Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data
S Tang, P Davarmanesh, Y Song, D Koutra, MW Sjoding, J Wiens
Journal of the American Medical Informatics Association 27 (12), 1921-1934, 2020
902020
Accounting for label uncertainty in machine learning for detection of acute respiratory distress syndrome
N Reamaroon, MW Sjoding, K Lin, TJ Iwashyna, K Najarian
IEEE journal of biomedical and health informatics 23 (1), 407-415, 2018
832018
Causes and characteristics of death in patients with acute hypoxemic respiratory failure and acute respiratory distress syndrome: a retrospective cohort study
SW Ketcham, YR Sedhai, HC Miller, TC Bolig, A Ludwig, I Co, D Claar, ...
Critical Care 24, 1-9, 2020
802020
Racial bias in pulse oximetry measurement among patients about to undergo extracorporeal membrane oxygenation in 2019-2020: a retrospective cohort study
VSM Valbuena, RP Barbaro, D Claar, TS Valley, RP Dickson, SE Gay, ...
Chest 161 (4), 971-978, 2022
772022
Comparing clinical features and outcomes in mechanically ventilated patients with COVID-19 and acute respiratory distress syndrome
MW Sjoding, AJ Admon, AK Saha, SG Kay, CA Brown, I Co, D Claar, ...
Annals of the American Thoracic Society 18 (11), 1876-1885, 2021
662021
Diagnosing bias in data-driven algorithms for healthcare
J Wiens, WN Price, MW Sjoding
Nature medicine 26 (1), 25-26, 2020
642020
When do confounding by indication and inadequate risk adjustment bias critical care studies? A simulation study
MW Sjoding, K Luo, MA Miller, TJ Iwashyna
Critical Care 19, 1-9, 2015
642015
In critically ill patients, anti-anaerobic antibiotics increase risk of adverse clinical outcomes
R Chanderraj, JM Baker, SG Kay, CA Brown, KJ Hinkle, DJ Fergle, ...
European Respiratory Journal 61 (2), 2023
612023
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