Predictive Modeling in Healthcare
Teaches theory and best practices of modern healthcare analytics with attention to classification and prediction models. We cover preparation, visualization, and exploration of data and provide hands-on experience with the main methods of data mining and machine learning. In working with RStudio and R packages, students will become experienced in the creation of accurate models, as well as professional communication of their analytic results.
Some of the most important recent innovations in healthcare analytics are rooted in the fields of data mining and machine learning. In this course we will study a variety of major techniques currently applied to healthcare data, always in the context of real problems, and the search for actionable results. We will regularly move between theory and practice, working through the challenges of coding and managing data sources in a flexible yet efficient manner.
View course prerequisites.