Clinical bacteremia dataset used to illustrate single-layer network estimation with MixMashNet This dataset contains 7240 patients with clinical suspicion of bacteremia who underwent blood culture testing at the Vienna General Hospital.
Usage
data(bacteremia)Format
A data frame with 7420 rows and 16 variables:
- AGE
Age (numeric).
- WBC
White blood cell (numeric).
- NEU
Neutrophil counts (numeric).
- HGB
Hemoglobin (numeric).
- PLT
Platelet count (numeric).
- CRP
C-reactive protein (numeric).
- APTT
Activated partial thromboplastin time (numeric).
- FIB
Fibrinogen (numeric).
- CREA
Creatinine (numeric).
- BUN
Blood urea nitrogen (numeric).
- GLU
Glucose (numeric).
- ALAT
High-sensitivity C-reactive protein (numeric).
- GBIL
Total bilirubin (numeric).
- ALB
Albumin (numeric).
- SEX
Sex with 0=male and 1=female.
- BloodCulture
Positive blood culture results with 0=no and 1=yes.
References
Ratzinger, F., Dedeyan, M., Rammerstorfer, M., Perkmann, T., Burgmann, H., Makristathis, A., Dorffner, G., Loetsch, F., Blacky, A., & Ramharter, M. (2014). A risk prediction model for screening bacteremic patients: A cross sectional study. PLoS ONE, 9(9), e106765. doi:10.1371/journal.pone.0106765