
A novel deep learning approach, Transformer-based Diffusion Probabilistic Model for Sparse Time Series Forecasting (TDSTF), achieves state-of-the-art performance in predicting heart rate, systolic blood pressure, and diastolic blood pressure in the intensive care unit setting.


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transformer-based-diffusion-probabilistic-model-for-accurate-and-efficient-forecasting-of-heart-rate-and-blood-pressure-in-intensive-care-units


Transformer-based Diffusion Probabilistic Model for Accurate and Efficient Forecasting of Heart Rate and Blood Pressure in Intensive Care Units
