Machine learning identifies ICU outcome predictors in a multicenter COVID-19 cohort.

Magunia H, Lederer S, Verbuecheln R, Gilot BJ, Koeppen M, Haeberle HA, Mirakaj V, Hofmann P, Marx G, Bickenbach J, Nohe B, Lay M, Spies C, Edel A, Schiefenhövel F, Rahmel T, Putensen C, Sellmann T, Koch T, Brandenburger T, Kindgen-Milles D, Brenner T, Berger M, Zacharowski K, Adam E, Posch M, Moerer O, Scheer CS, Sedding D, Weigand MA, Fichtner F, Nau C, Prätsch F, Wiesmann T, Koch C, Schneider G, Lahmer T, Straub A, Meiser A, Weiss M, Jungwirth B, Wappler F, Meybohm P, Herrmann J, Malek N, Kohlbacher O, Biergans S, Rosenberger P

Open source

DOI: 10.1186/s13054-021-03720-4
Published: 2021 Aug 17
Container: Critical care (London, England)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s13054-021-03720-4,
  title = {Machine learning identifies ICU outcome predictors in a multicenter COVID-19 cohort.},
  author = {Magunia H and Lederer S and Verbuecheln R and Gilot BJ and Koeppen M and Haeberle HA and Mirakaj V and Hofmann P and Marx G and Bickenbach J and Nohe B and Lay M and Spies C and Edel A and Schiefenhövel F and Rahmel T and Putensen C and Sellmann T and Koch T and Brandenburger T and Kindgen-Milles D and Brenner T and Berger M and Zacharowski K and Adam E and Posch M and Moerer O and Scheer CS and Sedding D and Weigand MA and Fichtner F and Nau C and Prätsch F and Wiesmann T and Koch C and Schneider G and Lahmer T and Straub A and Meiser A and Weiss M and Jungwirth B and Wappler F and Meybohm P and Herrmann J and Malek N and Kohlbacher O and Biergans S and Rosenberger P},
  year = {2021},
  journal = {Critical care (London, England)},
  doi = {10.1186/s13054-021-03720-4},
  url = {https://doi.org/10.1186/s13054-021-03720-4}
}

RIS

TY  - JOUR
TI  - Machine learning identifies ICU outcome predictors in a multicenter COVID-19 cohort.
AU  - Magunia H
AU  - Lederer S
AU  - Verbuecheln R
AU  - Gilot BJ
AU  - Koeppen M
AU  - Haeberle HA
AU  - Mirakaj V
AU  - Hofmann P
AU  - Marx G
AU  - Bickenbach J
AU  - Nohe B
AU  - Lay M
AU  - Spies C
AU  - Edel A
AU  - Schiefenhövel F
AU  - Rahmel T
AU  - Putensen C
AU  - Sellmann T
AU  - Koch T
AU  - Brandenburger T
AU  - Kindgen-Milles D
AU  - Brenner T
AU  - Berger M
AU  - Zacharowski K
AU  - Adam E
AU  - Posch M
AU  - Moerer O
AU  - Scheer CS
AU  - Sedding D
AU  - Weigand MA
AU  - Fichtner F
AU  - Nau C
AU  - Prätsch F
AU  - Wiesmann T
AU  - Koch C
AU  - Schneider G
AU  - Lahmer T
AU  - Straub A
AU  - Meiser A
AU  - Weiss M
AU  - Jungwirth B
AU  - Wappler F
AU  - Meybohm P
AU  - Herrmann J
AU  - Malek N
AU  - Kohlbacher O
AU  - Biergans S
AU  - Rosenberger P
PY  - 2021
JO  - Critical care (London, England)
DO  - 10.1186/s13054-021-03720-4
UR  - https://doi.org/10.1186/s13054-021-03720-4
ER  -

APA

H, M., S, L., R, V., BJ, G., M, K., HA, H., V, M., P, H., G, M., J, B., B, N., M, L., C, S., A, E., F, S., T, R., C, P., T, S., T, K., T, B., D, K., T, B., M, B., K, Z., E, A., M, P., O, M., CS, S., D, S., MA, W., F, F., C, N., F, P., T, W., C, K., G, S., T, L., A, S., A, M., M, W., B, J., F, W., P, M., J, H., N, M., O, K., S, B., & P, R. (2021). Machine learning identifies ICU outcome predictors in a multicenter COVID-19 cohort.. Critical care (London, England). https://doi.org/10.1186/s13054-021-03720-4

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pubmed · retrieved 2026-09-27T11:03:52.803Z