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Fig. 5 | Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine

Fig. 5

From: Artificial intelligence algorithm for predicting cardiac arrest using electrocardiography

Fig. 5

Electrocardiography and sensitivity map of patient with cardiac arrest. This is electrocardiography of patient who was 62 years old and was occurred cardiac arrest in external validation hospital. The cardiac arrest occurred 18 min after acquiring electrocardiography. The deep learning based artificial intelligence algorithm predicted cardiac arrest in this patient with a value of 0.685897, which was 32.7 times the cut-off value of sensitivity 90% in development dataset

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