Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial
Article 2020 en
Authors
HB
Hoyt Burdick
CL
Carson Lam
SM
Samson Mataraso
Abstract
1 min read
In the first clinical trial of a machine learning algorithm for ventilation needs among COVID-19 patients, the algorithm demonstrated accurate prediction of the need for mechanical ventilation within 24 h. This algorithm may help care teams effectively triage patients and allocate resources. Further, the algorithm is capable of accurately identifying 16% more patients than a widely used scoring system while minimizing false positive results.
Hoyt Burdick, Carson Lam, Samson Mataraso, Anna Siefkas, Gregory L. Braden, R. Phillip Dellinger, Andrea J. McCoy, Jean Louis Vincent, Abigail Green‐Saxena, Gina Barnes, Jana Hoffman, Jacob Calvert, Emily Pellegrini, Ritankar Das
Carson Lam, Anna Siefkas, Nicole S. Zelin, Gina Barnes, R. Phillip Dellinger, Jean Louis Vincent, Gregory L. Braden, Hoyt Burdick, Jana Hoffman, Jacob Calvert, Qingqing Mao, Ritankar Das
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