An interpretable machine learning model based on a quick pre-screening system enables accurate deterioration risk prediction for COVID-19.

Jia L, Wei Z, Zhang H, Wang J, Jia R, Zhou M, Li X, Zhang H, Chen X, Yu Z, Wang Z, Li X, Li T, Liu X, Liu P, Chen W, Li J, He K.

Open source

DOI
10.1038/s41598-021-02370-4
Published
2021-11-30
Container
Sci Rep
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41598-021-02370-4,
  title = {An interpretable machine learning model based on a quick pre-screening system enables accurate deterioration risk prediction for COVID-19.},
  author = {Jia L and  Wei Z and  Zhang H and  Wang J and  Jia R and  Zhou M and  Li X and  Zhang H and  Chen X and  Yu Z and  Wang Z and  Li X and  Li T and  Liu X and  Liu P and  Chen W and  Li J and  He K.},
  year = {2021},
  journal = {Sci Rep},
  doi = {10.1038/s41598-021-02370-4},
  url = {https://doi.org/10.1038/s41598-021-02370-4}
}

RIS

TY  - JOUR
TI  - An interpretable machine learning model based on a quick pre-screening system enables accurate deterioration risk prediction for COVID-19.
AU  - Jia L
AU  -  Wei Z
AU  -  Zhang H
AU  -  Wang J
AU  -  Jia R
AU  -  Zhou M
AU  -  Li X
AU  -  Zhang H
AU  -  Chen X
AU  -  Yu Z
AU  -  Wang Z
AU  -  Li X
AU  -  Li T
AU  -  Liu X
AU  -  Liu P
AU  -  Chen W
AU  -  Li J
AU  -  He K.
PY  - 2021
JO  - Sci Rep
DO  - 10.1038/s41598-021-02370-4
UR  - https://doi.org/10.1038/s41598-021-02370-4
ER  -

APA

L, J., Z, W., H, Z., J, W., R, J., M, Z., X, L., H, Z., X, C., Z, Y., Z, W., X, L., T, L., X, L., P, L., W, C., J, L., & K., H. (2021). An interpretable machine learning model based on a quick pre-screening system enables accurate deterioration risk prediction for COVID-19.. Sci Rep. https://doi.org/10.1038/s41598-021-02370-4

Source records