Recurrent probabilistic neural network-based short-term prediction for acute hypotension and ventricular fibrillation

Figures

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  Figure 1. Overview of the proposed short-term prediction method.

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  Figure 2. Comparison of accuracies for different configurations. (a) Compares the preprocessing methods. (b) Compares the different values of standard deviation parameter \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma _d$$\end{document}σd (hyperparameter). Both comparisons were carried out by setting \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$(M_{c,k}, K_c)=(1,1), (2,3), (3,3)$$\end{document}(Mc,k,Kc)=(1,1),(2,3),(3,3). (c) Accuracies and the required time duration for learning in different configurations of hyperparameters \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$M_{c,k}$$\end{document}Mc,k and \documentclass[12pt]{minimal}…

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  Figure 3. Prediction accuracy of the proposed method. The figure compares prediction accuracy between the proposed method and the previous methods5,11.

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  Figure 4. Prediction of acute clinical deterioration triggered by Vf. (a) Time course change in HRV indices and the posterior probability of acute clinical deterioration triggered by Vf (Sub.P) calculated by the proposed method. The grey highlight indicates the occurrence of Vf. (b) Compares prediction accuracies between different input dimensions in terms of average accuracy, sensitivity, and specificity. The blue bar indicates accuracy achieved when RRI was used as the input. The red bar indicates accuracy achieved when CVRR, RMSSD, and pNN50 were together used as the input.

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  Figure 5. Analysis results of heart rate, arterial pressure, and prediction of acute clinical deterioration for a patient with a multiple disease condition (Sub. A).