get_inclination_to_overtriage: get_inclination_to_overtriage

In symptomcheckR: Analyzing and Visualizing Symptom Checker Performance

get_inclination_to_overtriage

Description

Calculates the inclination to overtriage for one or multiple symptom checkers

Usage

get_inclination_to_overtriage(
  data,
  triagelevel_correct,
  triagelevel_advice,
  order_triagelevel,
  apps = NULL,
  CI = FALSE
)

Arguments

data	A dataframe
triagelevel_correct	A string indicating the column name storing the correct triage solutions
triagelevel_advice	A string indicating the column name storing the recommendation of a symptom checker for a case
order_triagelevel	A vector indicating the order of triage levels. The triage level with highest urgency should be the first value and the triage level with lowest urgency the last value.
apps	A string indicating the column name storing the app names (optional)
CI	A Boolean (TRUE or FALSE) indicating whether 95% confidence intervals should be output (optional)

Value

A list containing both a raw number and the percentage of the inclination to overtriage for one or multiple symptom checkers

Examples

data(symptomcheckRdata)
inclination_to_overtriage <- get_inclination_to_overtriage(
  data = symptomcheckRdata,
   triagelevel_correct = "Goldstandard_solution",
   triagelevel_advice = "Triage_advice_from_app",
   order_triagelevel = c("Emergency", "Non-Emergency", "Self-care"),
   apps = "App_name",
   CI = TRUE
   )

symptomcheckR documentation built on May 29, 2024, 4:47 a.m.