Deep Time-Series Prediction of Complications and Deterioration in ICU Patients Based on the MSIPA Model

In this research, a novel deep time-series model, MSIPA, is introduced for predicting complications and deterioration in ICU patients. Unlike conventional models, MSIPA efficiently handles data across varied time intervals, offering enhanced accuracy, particularly with discontinuous time series. It outperforms other deep learning models in multiple tasks, emphasizing the promise of deep time series prediction in healthcare.