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Fig. 3 | BMC Emergency Medicine

Fig. 3

From: Improving prediction accuracy of hospital arrival vital signs using a multi-output machine learning model: a retrospective study of JSAS-registry data

Fig. 3

Scatterplots comparing three prediction model outputs with true vital sign values. Scatterplots comparing the helicopter contact values, rate of change predictions, and neural network (NN) predictions with the true values for heart rate (HR), systolic blood pressure (SBP), diastolic blood pressure (DBP), respiratory rate (RR), and Glasgow Coma Scale (GCS) scores. The NN model shows higher accuracy, with values closer to the diagonal line

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BMC Emergency Medicine

ISSN: 1471-227X

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