Prediction of neurologic outcome after out-of-hospital cardiac arrest: An interpretable approach with machine learning

Authors: Rawshani, Araz, Hessulf, Fredrik, Deminger, John, Sultanian, Pedram, Gupta, Vibha, Lundgren, Peter, Mohammed, Mohammed, Abu Alchay, Monér, Siöland, Tobias, Gryska, Emilia, Piasecki, Adam

Source: In Resuscitation September 2024 202

ICURE: Intensive care unit (ICU) risk evaluation for 30‐day mortality. Developing and evaluating a multivariable machine learning prediction model for patients admitted to the general ICU in Sweden.

Authors: Siöland, Tobias^1,2 (AUTHOR) tobias.sioland@gu.se, Rawshani, Araz^3,4,5 (AUTHOR), Nellgård, Bengt^1,2 (AUTHOR), Malmgren, Johan^1,2 (AUTHOR), Oras, Jonatan^1,2 (AUTHOR), Dalla, Keti^1,2,3 (AUTHOR), Cinà, Giovanni^6,7,8 (AUTHOR), Engerström, Lars^9,10,11 (AUTHOR), Hessulf, Fredrik^1,2 (AUTHOR)

Source: Acta Anaesthesiologica Scandinavica. Nov2024, Vol. 68 Issue 10, p1379-1389. 11p.

Subject Terms: *MACHINE learning, *INTENSIVE care units, *SYSTOLIC blood pressure, *GLASGOW Coma Scale, *ARTIFICIAL intelligence