medRxiv
Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU
Publication
, Preprint
Sikora, A; Zhang, T; Murphy, D; Smith, S; Murray, B; Kamaleswaran, R; Chen, X; Buckley, M; Rowe, S; Devlin, J
2023
Duke Scholars
Citation
APA
Chicago
ICMJE
MLA
NLM
Sikora, A., Zhang, T., Murphy, D., Smith, S., Murray, B., Kamaleswaran, R., … Devlin, J. (2023). Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU. medRxiv. https://doi.org/10.1101/2023.06.16.23291493
Sikora, Andrea, Tianyi Zhang, David Murphy, Susan Smith, Brian Murray, Rishikesan Kamaleswaran, Xianyan Chen, Mitchell Buckley, Sandra Rowe, and John Devlin. “Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU.” MedRxiv, 2023. https://doi.org/10.1101/2023.06.16.23291493.
Sikora A, Zhang T, Murphy D, Smith S, Murray B, Kamaleswaran R, et al. Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU. medRxiv. 2023.
Sikora, Andrea, et al. “Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU.” MedRxiv, 2023. Epmc, doi:10.1101/2023.06.16.23291493.
Sikora A, Zhang T, Murphy D, Smith S, Murray B, Kamaleswaran R, Chen X, Buckley M, Rowe S, Devlin J. Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU. medRxiv. 2023.