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healthcare data scarcity

topic1 events
papersTODAY 04:00 UTC

Latent model encodes clinical conditions from vital signs in healthy subjects

A new arXiv preprint describes a latent-variable approach for representing clinical conditions using vital-sign data collected from healthy individuals. The authors frame the work within broader efforts to scale machine-learning signal processing in healthcare, where access to large, rich training datasets is often limited. The abstract provided is truncated, so reported methods, datasets, and results are not yet detailed.

research/healthcare/latent-models/arxiv