Healthcare Appointment No Show R Project

DESCRIPTION

A patient is considered to be a no-show when they fail to be
present for a scheduled appointment. For any healthcare

organization, no-shows lead to higher costs and underutilization
of resources, which affects the quality of service healthcare

organizations provide.

In order to solve this problem, the organizations need to be able

to understand why no-show patients do so.

Data Set: appointments.csv

Steps to Perform:

Explore the data to check for missing values or erroneous entries,

comment on redundant features, and add additional ones if

needed

Create a new feature called HourOfTheDay, which will indicate

the hour of the day at which the appointment was booked

Identify and remove outliers from the age column and explain the

reason behind the selected outlier treatment using an

appropriate plot
Analyze the probability of showing up with respect to different
features, create a scatter plot and trend lines to analyze the

relation between the probability of showing up with respect to

age or hour of the day, and describe your findings

Create a bar graph to depict the probability of showing up for

diabetes, alcoholism, hypertension, TB, smokes, and scholarship
Create separate bar graphs to show the probability of showing up

with respect to male or female, day of the week, and SMS
reminder columns and describe your findings

Use different classification models to predict the show or no-

show status based on the features that display the most
variation in the probability of showing up

Evaluate the models and choose the best one for the data