The purpose of this webinar is to take a tour of Healthcare.ai, a free, predictive analytics platform that is tailored to healthcare, and to get a hands-on demo of how to develop a machine learning model. The package allows users to pull data, implement machine learning algorithms to make predictions, and improve patient outcomes in real clinical settings. While there is other free software to develop predictive models, many organizations fail to provide a sufficient infrastructure to achieve value from it. Healthcare.ai provides tools to help walk a user through the process of data cleansing, model selection, performance evaluation, and interpretation. Finally, the package supports SQL-in, SQL-out data flow to be truly embedded into the analytics environment and make deployment reliable and consistent. The webinar will go through the capabilities of healthcare.ai and then go on to show the process of installation, real models being built, and deployed. We’ll dive into the R software environment and show you how easy it is to use machine learning in your analytics platform.
Levi Thatcher, Health Catalyst Director of Data Science and his team will provide a live demonstration of using healthcare.ai to implement a healthcare-specific machine learning model from data source to patient impact. Levi will go through a hands-on coding example while sharing his insights on the value of predictive analytics, the best path towards implementation, and avoiding common pitfalls. Frequently asked questions since the announcement will be shared and answered during the session.
During the webinar, we will:
Levi did his graduate work at the University of Utah, focusing on atmospheric predictability. There he used ensemble methods to improve numerical models, in terms of both the lead time and estimated intensity of hurricane development. At Health Catalyst, Levi started out on the platform engineering team, creating software improvements to the company’s core ETL offering. Since he moved internally to lead the data science team, Levi founded healthcare.ai, the first open-source machine learning project focused on healthcare outcomes. He’s now working to integrate healthcare.ai into each of Health Catalyst’s products and make healthcare.ai the international center of collaboration for healthcare machine learning.