Statistical Analysis Of Medical Appointments Using Decision Tree

Abstract

A prior work involves the exploratory data analysis of the 100k medical appointments in Brazil and is focused on the question of whether or not patients show up for their appointment. By applying the data wrangling techniques to inspect the dimensions of the dataset and to confirm the format and type of data and decide on the type of analysis we will conduct. Missing/Duplicated/Incorrect, and the Data Validation will also be done on the entire data set, overall appointment show-up vs. no show-up rate. The proportions of the different categories within each variable and the show-up rates broken down by category. The appointments where patients didn't show up, what is percentage of recurring patients vs. new patients will also be evaluated. For each pair of variables, calculate the proportions of category combinations to identify the largest group of patients who didn't show-up. A step-by-step process will be provided to explain how this step will be performed. The purpose of this analysis is to serve as a starting point of identifying the factors that may be contributing to the patients missing their appointments.