Medical Appointment No-Show Prediction Using Machine Learning Techniques

Health care resources are limited and the efficient utilization of these resources is a must. No show for medical appointments is an everlasting problem that faces health care systems and is a huge waste of resources that can be a hindrance against improving health care services all over the world. This research aims to analyze the factors affecting this problem and create effective predictive models that can help solve it and reduce its social and economical ramifications on health care systems. This study suggests a methodology based on machine learning where different algorithms were utilized and compared and proposes a framework that can be utilized to achieve the best, and most robust classifier in terms of different performance metrics. The objective is to attempt to predict if a patient will attend his/her medical appointment or not.