AI-based detection of worsening heart failure from low-resolution telemonitoring data
The TRACER model, a Transformer with Contrastive Event Representation designed to predict timelines leading to rare hospitalization events in low-resolution and irregularly sampled telemonitoring data, shows promise in identifying signs of clinical deterioration that allow for alerts to be generated to provide countera...
E. Aerts, Yi-Nan Yu, A. Rosengren et al.
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