| Title: | Flags Acute Kidney Injury (AKI) |
| Version: | 0.3.0 |
| Description: | Flagger to detect acute kidney injury (AKI) in a patient dataset. |
| License: | MIT + file LICENSE |
| Encoding: | UTF-8 |
| LazyData: | true |
| RoxygenNote: | 7.1.1 |
| Imports: | dplyr, data.table, zoo, shiny |
| Suggests: | testthat |
| Depends: | R (≥ 3.5.0) |
| URL: | https://github.com/isaranwrap/akiFlagger |
| BugReports: | https://github.com/isaranwrap/akiFlagger/issues |
| NeedsCompilation: | no |
| Packaged: | 2021-04-07 12:06:26 UTC; saranmedical-smile |
| Author: | Ishan Saran [aut, cre], Shivam Saran [aut], Rishi Saran [aut], Aditya Biswas [ctb], Sankee Mummareddy [ctb], Yu Yamamoto [ctb], Francis Perry Wilson [ctb, ths] |
| Maintainer: | Ishan Saran <ishansaran65@gmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2021-04-07 13:00:02 UTC |
Flag patients for AKI
Description
Add in the AKI column in a patient dataframe according to the KDIGO criterion
Usage
returnAKIpatients(
dataframe,
HB_trumping = FALSE,
eGFR_impute = FALSE,
window1 = as.difftime(2, units = "days"),
window2 = as.difftime(7, units = "days"),
padding = as.difftime(0, units = "days"),
add_min_creat = FALSE,
add_baseline_creat = FALSE,
add_imputed_admission = FALSE,
add_imputed_encounter = FALSE
)
Arguments
dataframe |
patient dataset |
HB_trumping |
boolean on whether to have historical baseline creatinine values trump the local minimum creatinine values |
eGFR_impute |
boolean on whether to impute missing baseline creatinine values with CKD-EPI equation |
window1 |
rolling window length of the shorter time window; defaults to 48 hours |
window2 |
rolling window length of the longer time window; defaults to 162 hours |
padding |
padding to add to rolling windows; defaults to 0 hours |
add_min_creat |
boolean on whether to add the intermediate columns generated during calculation |
add_baseline_creat |
boolean on whether to add the baseline creatinine values in |
add_imputed_admission |
boolean on whether to add the imputed admission column in |
add_imputed_encounter |
boolean on whether to add the imputer encounter id column in |
Value
patient dataset with AKI column added in
#Imports
Examples
returnAKIpatients(toy)
GUI Shiny App
Description
GUI Shiny App
Usage
runGUI()
Toy dataset
Description
Since real patient data is probably protected health information (PHI), this toy dataset contains all the relevant columns the flagger takes in.
Usage
toy
Format
A data frame (1078 x 6) consisting of relevant AKI measurements for patients
- patient_id
int, the patient identifier
- inpatient
boolean, whether or not the creatinine measurement taken was an inpatient measurement
- time
POSIXct, the time at which the creatinine measurement was taken
- creatinine
float, the creatinine value of the measurement taken
@source http://akiflagger.readthedocs.io/
Toy dataset
Description
Since real patient data is probably protected health information (PHI), this toy dataset contains all the relevant columns the flagger takes in.
Usage
toy.demo
Format
A data frame (1078 x 6) consisting of relevant AKI measurements for patients
- patient_id
int, the patient identifier
- age
float, the age of the patient
- sex
boolean, whether the patient is female or not
- race
boolean, whether the patient is black or not
- inpatient
boolean, whether or not the creatinine measurement taken was an inpatient measurement
- time
POSIXct, the time at which the creatinine measurement was taken
- creatinine
float, the creatinine value of the measurement taken