Litcius/Paper detail

Predicting defibrillation success in out-of-hospital cardiac arrested patients: Moving beyond feature design

Marija D. Ivanović, Julius Hannink, Matthias Ring, Fabio Baronio, Vladan Vukčević, Ljupčo Hadžievski, Bjoern M. Eskofier

2020Artificial Intelligence in Medicine16 citationsDOI

Topics & Concepts

Computer scienceDefibrillationArtificial intelligenceMachine learningMultilayer perceptronPerceptronFeature (linguistics)Feature extractionPattern recognition (psychology)Feature selectionDropout (neural networks)Sensitivity (control systems)Convolutional neural networkOverfittingArtificial neural networkMedicineEngineeringElectronic engineeringCardiologyPhilosophyLinguisticsCardiac Arrest and ResuscitationHealthcare Technology and Patient MonitoringECG Monitoring and Analysis
Predicting defibrillation success in out-of-hospital cardiac arrested patients: Moving beyond feature design | Litcius