appointments: Medical appointment no shows

In Rkabacoff/qacr: Functions to Facilitate Data Science Projects

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.

Source

Joni Hoppen, Kaggle Medical Appointment No Shows https://www.kaggle.com/joniarroba/noshowappointments.

Examples

summary(appointments)

Rkabacoff/qacr documentation built on March 20, 2021, 3:03 p.m.