Pediatr Crit Care Me
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Pediatr Crit Care Me · Dec 2019
A Machine Learning-Based Triage Tool for Children With Acute Infection in a Low Resource Setting.
To deploy machine learning tools (random forests) to develop a model that reliably predicts hospital mortality in children with acute infections residing in low- and middle-income countries, using age and other variables collected at hospital admission. ⋯ A machine learning-based algorithm could reliably predict hospital mortality in a Sub-Sahara African population of 949 children with an acute infection using easily collected information at admission which includes age, respiratory rate, capillary refill time, and altered mental state. Future studies need to evaluate and strengthen this algorithm in larger pediatric populations, both in high- and low-/middle-income countries.
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Pediatr Crit Care Me · Dec 2019
Editorial CommentEvolution of Advanced Practice Provider Education.