Heng Huang awarded NSF grant to study anesthesia complications

The National Science Foundation awarded $1.2 million to the Swanson School of Engineering to support research into using machine learning and Big Data to analyze electronic anesthesia records and prevent postoperative complications and death.

Heng Huang, John A. Jurenko Professor in Computer Engineering at Pitt, is principal investigator on the study titled “SCH: INT: New Machine Learning Framework to Conduct Anesthesia Risk Stratification and Decision Support for Precision Health.” Huang will analyze more than two million cases of anesthesia data taken from 303 UPMC clinics and treatment centers.

Huang is collaborating with co-principal investigators Dan Li, assistant professor in the School of Nursing, and Fei Zhang, certified registered nurse anesthetist in the Department of Anesthesiology and Perioperative Medicine. Find more details here.