
The author proposes a novel machine learning approach using LSTM networks and collaborative filtering to identify common physiological states across patients, achieving high accuracy in detecting intracranial hypertension. The methodology aims to improve patient phenotyping using routinely collected multivariate time series data.


coremsg

Collaborative-Learning-for-ICU-Patient-Phenotyping-with-Physiological-Signals


Collaborative Learning for ICU Patient Phenotyping with Physiological Signals
