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May 2019: Practical Applications of Machine Learning and Natural Language Processing in Perioperative Medicine

Featuring Dr. Michael Burns

01 May, 2019


At the first anniversary event of BrainX Community Live, Dr.Michael Burns made a presentation on “Practical Applications of Machine Learning and Natural Language Processing in Perioperative Medicine”. He is currently an anesthesiologist at the University of Michigan and clinical analytics researcher within the Multicenter Perioperative Outcomes Research (MPOG) group. He discussed current research and applications of Artificial Intelligence in perioperative patient care areas. These include applications of predictive analytics with neural networks and deep learning to guide diagnosis and treatment, especially useful in critically ill patients.

He also discussed his current work within MPOG with perioperative applications of machine learning models including classification models for Current Procedure Terminology (CPT) codes in medical procedural billing applications. Michael demonstrated that significant improvement can be achieved in classification of CPT codes using natural language processing and feature engineering. His work can be very impactful in increasing the speed, accuracy, and revenue capture compared to existing healthcare billing systems.

Links to his latest publications/presentations are below:

Mathur, P. and M. L. Burns (2019). “Artificial Intelligence in Critical Care.” Int. Anesthesiology Clinics 57(2): 89-102. PMID: 30864993

“ProcedureView (ProView): Analyzing and Presenting Anesthesiology Case Data for Providers using Machine Learning” – Society for Technology in Anesthesia (2019)

“Clustering Anesthesiology Case Data for Machine Learning” – Machine Learning for Healthcare (2018)