A new hierarchical attention model with contrastive learning detects maternal hypertension from fetal hemodynamics in Doppler ultrasound at AUROC 0.80 on a large Guatemala dataset.
ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels.Data Mining and Knowledge Discovery, 34(5):1454–1495, 2020
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Multi-View Hierarchical Representation Learning of Fetal Hemodynamics for Maternal Hypertension Detection at the Edge
A new hierarchical attention model with contrastive learning detects maternal hypertension from fetal hemodynamics in Doppler ultrasound at AUROC 0.80 on a large Guatemala dataset.