In this two-part webinar, get the detailed knowledge you need to make informed decisions about adopting predictive analytics in healthcare so you can separate today's hype from reality. In part 1, you'll learn from Dale Sanders:
Our fixation on predictive analytics in readmissions,
The common trap of predictions without interventions,
The common misconceptions of correlations verses causation,
Examples of predictions without algorithms, and
The importance of putting the basics first.
In part 2, you'll hear from industry expert David Crockett, PhD in a "graduate level" crash course cover key concepts such as machine learning, algorithms, feature selection, classification, tools and more.
Whether you are on the go or have time for a deep dive, we offer multiple ways to view the content.