Acharjee, A.; Hazeldine, J.; Bazarova, A.; Deenadayalu, L.; Zhang, J.; Bentley, C.; Russ, D.; Lord, J.M.; Gkoutos, G.V.; Young, S.P.;
et al. Integration of Metabolomic and Clinical Data Improves the Prediction of Intensive Care Unit Length of Stay Following Major Traumatic Injury. Metabolites 2022, 12, 29.
https://doi.org/10.3390/metabo12010029
AMA Style
Acharjee A, Hazeldine J, Bazarova A, Deenadayalu L, Zhang J, Bentley C, Russ D, Lord JM, Gkoutos GV, Young SP,
et al. Integration of Metabolomic and Clinical Data Improves the Prediction of Intensive Care Unit Length of Stay Following Major Traumatic Injury. Metabolites. 2022; 12(1):29.
https://doi.org/10.3390/metabo12010029
Chicago/Turabian Style
Acharjee, Animesh, Jon Hazeldine, Alina Bazarova, Lavanya Deenadayalu, Jinkang Zhang, Conor Bentley, Dominic Russ, Janet M. Lord, Georgios V. Gkoutos, Stephen P. Young,
and et al. 2022. "Integration of Metabolomic and Clinical Data Improves the Prediction of Intensive Care Unit Length of Stay Following Major Traumatic Injury" Metabolites 12, no. 1: 29.
https://doi.org/10.3390/metabo12010029
APA Style
Acharjee, A., Hazeldine, J., Bazarova, A., Deenadayalu, L., Zhang, J., Bentley, C., Russ, D., Lord, J. M., Gkoutos, G. V., Young, S. P., & Foster, M. A.
(2022). Integration of Metabolomic and Clinical Data Improves the Prediction of Intensive Care Unit Length of Stay Following Major Traumatic Injury. Metabolites, 12(1), 29.
https://doi.org/10.3390/metabo12010029