R/readmission.R

In sdcastillo/ExamPAData: Data Sets for Predictive Analytics Exam

#' Readmission
#'
#' @description SOA Hospital Readmissions Sample Exam, 2019.
#'
#' @docType data
#'
#' @usage readmission
#'
#' @format data.frame, 66782 observations of 9 variables:
#' \describe{
#'   \item{Readmission.Status}{The target variable, it is 1 for patients that
#'         were readmitted, 0 otherwise.}
#'   \item{Gender}{M indicates male, F indicates female.}
#'   \item{Race}{There are four categories: Black, Hispanic, Others, White.}
#'   \item{ER}{The number of emergency room visits prior to the hospital stay
#'         associated with the readmission, an integer.}
#'   \item{DRG.Class}{Diagnostic Related Group classification. There are three
#'         categories: MED (for medical), SURG (for surgical), UNGROUP.}
#'   \item{LOS}{Length of hospital stay in days, an integer.}
#'   \item{Age}{The patient's age in years, an integer. (Note that while most
#'         Medicare recipients are age 65 or older there are circumstances in
#'         which whose under 65 can receive benefits.)}
#'   \item{HCC.Riskscore}{Hierarchical Condition Category risk score. It is
#'         designed to be an estimate of a patient's condition and prospective
#'         costs. It is a continuous variable, rounded to three decimal places.
#'         Higher numbers indicate greater risk.}
#'   \item{DRG.Complication}{Complications, with five levels: MedicalMCC.CC,
#'         MecialNoc, Other, SurgMCC.CC, SurgNoC, MCC.CC complications or
#'         comorbidities that may be major. NoC means no complications or
#'         comorbidities.}
#' }
#'
#' @keywords datasets
#'
#'
#'
"readmission"