appointments: Medical Appointment No Shows
In Rkabacoff/qacData: Datasets for Data Science Instruction

appointments

R Documentation

Medical Appointment No Shows

Description

Predicting no-show medical appointments

Usage

appointments

Format

A data frame with 110527 rows and 14 variables:

PatientId: double. Identification of a patient.
AppointmentID: double. dentification of each appointment.
Gender: factor. Male, Female.
ScheduledDay: datatime. The day and time of the actual appointment, when they have to visit the doctor.
AppointmentDay: double. The day someone called or registered the appointment, this is before appointment of course.
Age: double. Age of the patient.
Neighbourhood: character. Where the appointment takes place.
Scholarship: integer. 0=FALSE, 1=TRUE. Scholarship is a social welfare program providing financial aid to poor Brazilian families.
Hypertension: integer. 0=FALSE, 1=TRUE.
Diabetes: integer. 0=FALSE, 1=TRUE.
Alcoholism: integer. 0=FALSE, 1=TRUE.
Handcap: integer. 0=FALSE, 1=TRUE.
SMS_received: integer. 0=FALSE, 1=TRUE. 1 or more messages sent to the patient.
No_show: factor. Yes, No.

Details

This Kaggle competition was designed to challenge participants to predict office no-shows. It is also a good dataset to practice date and time manipulation.