Risa Myers, A Probabilistic Model of Patient Anesthetic Volatility: Predicting Risk using Bayesian Machine Learning Techniques

We now have access to more healthcare data electronically than ever before. Consequently, we can apply machine learning techniques to these data sets to learn more of the characteristics of the healthcare process with the goal of improving outcomes and decreasing costs.

In this talk I will explain the data collected during a surgical anesthesia case and present a Bayesian model of the time series data. I will describe an approach for analyzing the data to determine the volatility of the case.