A Comparison of XGBoost, Random Forest, and Nomograph for the Prediction of Disease Severity in Patients With COVID-19 Pneumonia: Implications of Cytokine and Immune Cell Profile.
- DOI
- 10.3389/fcimb.2022.819267
- Published
- 2022
- Container
- Frontiers in cellular and infection microbiology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fcimb.2022.819267,
title = {A Comparison of XGBoost, Random Forest, and Nomograph for the Prediction of Disease Severity in Patients With COVID-19 Pneumonia: Implications of Cytokine and Immune Cell Profile.},
author = {Hong W and Zhou X and Jin S and Lu Y and Pan J and Lin Q and Yang S and Xu T and Basharat Z and Zippi M and Fiorino S and Tsukanov V and Stock S and Grottesi A and Chen Q and Pan J},
year = {2022},
journal = {Frontiers in cellular and infection microbiology},
doi = {10.3389/fcimb.2022.819267},
url = {https://doi.org/10.3389/fcimb.2022.819267}
}RIS
TY - JOUR TI - A Comparison of XGBoost, Random Forest, and Nomograph for the Prediction of Disease Severity in Patients With COVID-19 Pneumonia: Implications of Cytokine and Immune Cell Profile. AU - Hong W AU - Zhou X AU - Jin S AU - Lu Y AU - Pan J AU - Lin Q AU - Yang S AU - Xu T AU - Basharat Z AU - Zippi M AU - Fiorino S AU - Tsukanov V AU - Stock S AU - Grottesi A AU - Chen Q AU - Pan J PY - 2022 JO - Frontiers in cellular and infection microbiology DO - 10.3389/fcimb.2022.819267 UR - https://doi.org/10.3389/fcimb.2022.819267 ER -
APA
W, H., X, Z., S, J., Y, L., J, P., Q, L., S, Y., T, X., Z, B., M, Z., S, F., V, T., S, S., A, G., Q, C., & J, P. (2022). A Comparison of XGBoost, Random Forest, and Nomograph for the Prediction of Disease Severity in Patients With COVID-19 Pneumonia: Implications of Cytokine and Immune Cell Profile.. Frontiers in cellular and infection microbiology. https://doi.org/10.3389/fcimb.2022.819267
Source records
- pubmed · retrieved 2026-09-26T21:45:39.817Z