SSFD-Net: Shared-Specific Feature Disentanglement Network for Multimodal Biometric Recognition with Missing Modality.

Intelligent alert system for predicting invasive mechanical ventilation needs via noninvasive parameters: employing an integrated machine learning method with integration of multicenter databases.

Identification of blood loss based on multiple physiological parameters.

Invasive mechanical ventilation probability estimation using machine learning methods based on non-invasive parameters.

A machine learning method for predicting the probability of MODS using only non-invasive parameters.

An interpretable deep learning algorithm for dynamic early warning of posttraumatic hemorrhagic shock based on noninvasive parameter.

Method of non-invasive parameters for predicting the probability of early in-hospital death of patients in intensive care unit.

A novel approach to estimate blood pressure of blood loss continuously based on stacked auto-encoder neural networks.

A machine learning approach for mortality prediction only using non-invasive parameters.