Latest AI and machine learning research in intensivists for healthcare professionals.
BACKGROUND: In critically ill patients, enteral feeding through the nasogastric tube is the method o...
Multimodal classification methods using different modalities of imaging and non-imaging data have re...
INTRODUCTION: The aim of this study was to determine the prognostic value of adrenomedullin, after e...
In this paper, we introduce an Asynchronous Multiview Learning (AML) approach to allow accurate tran...
As hybrid, passive brain-computer interface systems become more advanced, it is important to grow ou...
Brain-computer interface (BCI) systems provide an alternative communication and control approach for...
OBJECTIVE: To investigate the influence of the midazolam sedation based on remifentanil analgesia on...
OBJECTIVE: To reproduce a clinically relevant "two-hit" model of sepsis complicated by pneumonia and...
OBJECTIVE: To explore the effect of prone position ventilation (PPV) on respiratory mechanics and pr...
OBJECTIVE: To assess the value of passive leg raising (PLR) test in predicting fluid responsiveness ...
Multi-layer perceptron (MLP) neural network belongs to multi-layer feedforward neural network, and h...
A new method based on convolution kernel compensation (CKC) for decomposing multi-channel surface el...
Bioinformatics data tend to be highly dimensional in nature thus impose significant computational de...
In this paper, we present a multiple ocular diseases detection scheme based on joint sparse multi-ta...
In this paper, we describe a new multi-mode telestimulation system for brain-microstimulation for th...
Multi-label classification is useful in many bioinformatics tasks such as gene function prediction a...
Early classification of time series has been receiving a lot of attention recently. In this paper we...
Bipolar Disorder (BD) is a chronic and disabling disease that usually appears around 20 to 30 years ...
We investigate the problem of diagnostic lung nodule classification using thoracic Computed Tomograp...
Automatic medical image analysis systems often start from identifying the human body part contained ...
Home monitoring of chronically ill or elderly patient can reduce frequent hospitalisations and hence...