PGP-Clinical-TimeKAN is a trajectory-first framework designed for joint probabilistic forecasting of multivariate physiology. The system utilizes missingness-aware temporal encoders, a soft organ-system prior, patient-specific relations, nonlinear Kolmogorov-Arnold messages, and a low-rank multivariate Student-t head. Evaluation was performed on a cohort of 6,882 patients and 54,694 windows, utilizing 24-hour histories and six-hour forecasts. The model achieved a normalized MAE of 0.37727 +/- 0.00029 and an RMSE of 0.52656 +/- 0.00034 across five seeds and 13 models.
Source: https://arxiv.org/abs/2609.05488