Can I read Predicting survival and neurological outcome in out-of-hospital cardiac arrest using machine learning: the SCARS model on EtoBox?

Predicting survival and neurological outcome in out-of-hospital cardiac arrest using machine learning: the SCARS model by Hessulf, Fredrik (author);Bhatt, Deepak L. (author);Engdahl, Johan (author);Lundgren, Peter (author);Omerovic, Elmir (author);Rawshani, Aidin (author);Helleryd, Edvin (author);Dworeck, Christian (author);Friberg, Hans (author);Redfors, Björn (author);Nielsen, Niklas (author);Myredal, Anna (author);Frigyesi, Attila (author);Herlitz, Johan (author);Rawshani, Araz (author) is a Medicine article available to read on EtoBox.

What is Predicting survival and neurological outcome in out-of-hospital cardiac arrest using machine learning: the SCARS model about?

Background A prediction model that estimates survival and neurological outcome in out-of-hospital cardiac arrest patients has the potential to improve clinical management in emergency rooms. Methods We used the Swedish Registry for Cardiopulmonary Resuscitation to study all out-of-hospital cardiac arrest (OHCA) cases in Sweden from 2010 to 2020. We had 393 candidate predictors describing the circumstances at cardiac arrest, critical time intervals, patient demographics, initial presentation, spatiotemporal data, socioeconomic status, medications, and comorbidities before arrest. To develop, evaluate and test an array of prediction models, we created stratified (on the outcome measure) random samples of our study population. We created a training set (60% of data), evaluation set (20% of data), and test set (20% of data). We assessed the 30-day survival and cerebral performance category (CPC) score at discharge using several machine learning frameworks with hyperparameter tuning. Parsimonious models with the top 1 to 20 strongest predictors were tested. We calibrated the decision threshold to assess the cut-off yielding 95% sensitivity for survival. The final model was deployed as a

Who reads Predicting survival and neurological outcome in out-of-hospital cardiac arrest using machine learning: the SCARS model?

Author

Hessulf, Fredrik (author);Bhatt, Deepak L. (author);Engdahl, Johan (author);Lundgren, Peter (author);Omerovic, Elmir (author);Rawshani, Aidin (author);Helleryd, Edvin (author);Dworeck, Christian (author);Friberg, Hans (author);Redfors, Björn (author);Nielsen, Niklas (author);Myredal, Anna (author);Frigyesi, Attila (author);Herlitz, Johan (author);Rawshani, Araz (author)

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Medicine (Life Sciences)