Predictive Analysis of Medical Appointment No-Shows Quiz

The goal of the predictive modeling is to understand and predict if patients will show up for their medical appointments.

When a patient misses an appointment, it can lead to wasted resources and can negatively affect their health.

The data for the study came from Kaggle, which includes over 110,000 medical appointments in Brazil from November 2015 to June 2016.

<p>The main pieces of data used in the study are the date and time when the appointment was scheduled, the date of the appointment, and whether or not the patient showed up (No-Show).</p> Signup and view all the answers

<p>The changes made to the data include converting words into numbers, removing incorrect age data, and creating new columns from the existing date data for a more detailed analysis.</p> Signup and view all the answers

<p>November 2015 to June 2016</p> Signup and view all the answers

<p>To understand and predict if patients will show up for their medical appointments</p> Signup and view all the answers

<p>Wasted resources and negative impact on their health</p> Signup and view all the answers

<p>Existing date data</p> Signup and view all the answers

<p>Changed words into numbers, removed incorrect age data</p> Signup and view all the answers

<p>Brazil</p> Signup and view all the answers

<p>Increased healthcare costs</p> Signup and view all the answers

<p>To reduce data complexity</p> Signup and view all the answers

<p>Reduced waiting times for other patients</p> Signup and view all the answers

<p>Predictive modeling</p> Signup and view all the answers