Predicting sepsis mortality

Netflix, Facebook, and Google can offer suggestions about TV shows, products, and companies that a user might be interested in based on trends. This is often done with machine learning, a computer science sub-field that uses pattern recognition and computational learning. In addition to providing suggestions for the next show you should binge-watch, researchers at the UW School of Medicine and the Yale University School of Medicine hope to use this technique to predict sepsis mortality in the emergency care setting. “I think we’re surpassing our ability to account for these interactions [on our own],” said Dr. Kennedy Hall, acting instructor of emergency medicine at the UW. “This is where machine learning can come in as an adjunct to help us out.” Sepsis can develop when bacteria, organisms, or toxins…

Link to Full Article: Predicting sepsis mortality

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