readmission: Readmission
In sdcastillo/ExamPAData: Data Sets for Predictive Analytics Exam

readmission

R Documentation

Readmission

SOA Hospital Readmissions Sample Exam, 2019.

readmission

data.frame, 66782 observations of 9 variables:

Readmission.Status: The target variable, it is 1 for patients that were readmitted, 0 otherwise.
Gender: M indicates male, F indicates female.
Race: There are four categories: Black, Hispanic, Others, White.
ER: The number of emergency room visits prior to the hospital stay associated with the readmission, an integer.
DRG.Class: Diagnostic Related Group classification. There are three categories: MED (for medical), SURG (for surgical), UNGROUP.
LOS: Length of hospital stay in days, an integer.
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.)
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.
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.