Leveraging Machine Learning for Advancements in Epidemiology and Health Outcomes Research

Abstract

Machine learning modelings that involve use of epidemiologic data to predict disease outbreaks are beginning to appear in professional studies. Such techniques spark hope in patients and doctors alike, they show us what can be done and what needs to be done as never happened before. Here is a tutorial on how to create supervised machine learning models with corresponding literature resources. Source: From picking a suitable sample, delineating the features through training, test, and evaluation of performance, machine learning by the end-to-end approach can be a really stressful thing. In the article, we take the reader by the through steps in the process and explore groundbreaking concepts on machine learning, such as treatment effects and explaining machine learning models’ output.