At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods.

Mesinovic M, Wong XC, Rajahram GS, Citarella BW, Peariasamy KM, van Someren Greve F, Olliaro P, Merson L, Clifton L, Kartsonaki C, ISARIC Characterisation Group

Open source

DOI
10.1038/s41598-024-63212-7
Published
2024 Jul 16
Container
Scientific reports
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1038/s41598-024-63212-7,
  title = {At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods.},
  author = {Mesinovic M and Wong XC and Rajahram GS and Citarella BW and Peariasamy KM and van Someren Greve F and Olliaro P and Merson L and Clifton L and Kartsonaki C and ISARIC Characterisation Group},
  year = {2024},
  journal = {Scientific reports},
  doi = {10.1038/s41598-024-63212-7},
  url = {https://doi.org/10.1038/s41598-024-63212-7}
}

RIS

TY  - JOUR
TI  - At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods.
AU  - Mesinovic M
AU  - Wong XC
AU  - Rajahram GS
AU  - Citarella BW
AU  - Peariasamy KM
AU  - van Someren Greve F
AU  - Olliaro P
AU  - Merson L
AU  - Clifton L
AU  - Kartsonaki C
AU  - ISARIC Characterisation Group
PY  - 2024
JO  - Scientific reports
DO  - 10.1038/s41598-024-63212-7
UR  - https://doi.org/10.1038/s41598-024-63212-7
ER  - 

APA

M, M., XC, W., GS, R., BW, C., KM, P., F, V. S. G., P, O., L, M., L, C., C, K., & Group, I. C. (2024). At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods.. Scientific reports. https://doi.org/10.1038/s41598-024-63212-7

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