accept2: Predicts COPD exacerbation rate by severity level based on the updated accept2 model, which improves accuracy in patients without an exacerbation history.
Description
Predicts COPD exacerbation rate by severity level based on the updated accept2 model, which improves accuracy in patients without an exacerbation history.
Usage
accept2(
patientData,
random_sampling_N = 100,
lastYrExacCol = "LastYrExacCount",
lastYrSevExacCol = "LastYrSevExacCount",
KeepSGRQ = TRUE,
KeepMeds = TRUE,
...
)
Value
patientData with prediction
Arguments
- patientData
patient data matrix. Can have one or many patients in it
- random_sampling_N
number of random sampling. Default is 100.
- lastYrExacCol
the column specifying last year all exacerbation count
- lastYrSevExacCol
the column specifying last year severe exacerbation count
- KeepSGRQ
default is TRUE. If set to false, the reduced model without SGRQ will be used.
- KeepMeds
default is TRUE. If set to false, the reduced model without medication predictors will be used.
- ...
for backward compatibility
Examples
Run this coderesults <- accept2(samplePatients)
Run the code above in your browser using DataLab