test_covid: External test dataset. Medical information of Wuhan patients...
In treeheatr: Heatmap-Integrated Decision Tree Visualizations
Description
External test dataset.
Medical information of Wuhan patients collected between
2020-01-10 and 2020-02-18.
Usage
1
Format
A data frame with 110 observations and 7 XGBoost-selected variables:
PATIENT_ID, Lactate dehydrogenase,
High sensitivity C-reactive protein, (%)lymphocyte,
Admission time, Discharge time and outcome.
An interpretable mortality prediction model for COVID-19 patients.
Yan et al.
https://doi.org/10.1038/s42256-020-0180-7
https://github.com/HAIRLAB/Pre_Surv_COVID_19
treeheatr documentation built on Nov. 20, 2020, 1:07 a.m.
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Description
External test dataset. Medical information of Wuhan patients collected between 2020-01-10 and 2020-02-18.
Usage
1 |
Format
A data frame with 110 observations and 7 XGBoost-selected variables:
PATIENT_ID, Lactate dehydrogenase,
High sensitivity C-reactive protein, (%)lymphocyte,
Admission time, Discharge time and outcome.
An interpretable mortality prediction model for COVID-19 patients. Yan et al. https://doi.org/10.1038/s42256-020-0180-7 https://github.com/HAIRLAB/Pre_Surv_COVID_19
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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