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cs.LG2025
Predicting Fetal Outcomes from Cardiotocography Signals Using a Supervised Variational Autoencoder
John Tolladay, Beth Albert, Gabriel Davis Jones
Objective: To develop and interpret a supervised variational autoencoder (VAE) model for classifying cardiotocography (CTG) signals based on pregnancy outcomes, addressing interpre…
cs.LG2025
Reducing Large Language Model Safety Risks in Women's Health using Semantic Entropy
Jahan C. Penny-Dimri, Magdalena Bachmann, William R. Cooke +7
Large language models (LLMs) hold substantial promise for clinical decision support. However, their widespread adoption in medicine, particularly in healthcare, is hindered by thei…