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Machine Learning Could Improve Intensive Care Treatment

News   Jan 25, 2019 | Original Press Release from Princeton School of Engineering and Applied Science

 
Machine Learning Could Improve Intensive Care Treatment

Princeton researchers applied machine learning methods to develop an optimal policy for ordering common blood tests in a hospital’s intensive care unit. From left: Computer science graduate student Niranjani Prasad, electrical engineering graduate student Li-Fang Cheng, and Associate Professor of Computer Science Barbara Engelhardt. Credit: David Kelly Crow

 
 
 

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