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Hospital patients can end up with an infection they didn’t have when they arrive. This leads to complications and sometimes death. Jenna Wiens, Assistant Professor of Computer Science and Engineering at the University of Michigan, worked on building a computational model that can learn to prevent infections by determining the risk of getting one. We talked about what data is useful for building this model and the algorithms involved. Jenna also explained different approaches to building a machine learning model for a hospital.
Photo credit: MIT Technology Review
Show Notes:
Artificial Intelligence helps identify patients at risk for C. difficile
The Women in Tech Show 