An Application of Machine Learning to Forecast Hypertension Signals in Intracranial Pressure: A Comparison of Various Algorithms

The objective of the work presented in this article is to investigate the applicability of lightweight machine learning (ML) algorithms capable of detecting and forecasting hypertensive (HT) episodes from historical intracranial pressure (ICP) signals. Specifically, we aim at identifying noncomputationally dependent algorithms, which can be supported by lightweight hardware such as medical monitor...