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Machine-Learning System Could Aid Critical Decisions in Sepsis Care
Nov 07, 2018
Research shows that sepsis is one of the most frequent causes of hospital admission and one of the most common causes of death in the intensive care unit (ICU) with the ER most often the first point of contact with the sepsis patient. This first-ever model, developed by the MGH/MIT team to specifically aid ER clinicians in sepsis care, aims to result in better outcomes for patients.
Citation for the Full-text Article
Matheson R. Machine-learning system could aid critical decisions in sepsis care. MIT News. November 7, 2018.
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