Critical Care

Latest AI and machine learning research in critical care for healthcare professionals.

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An asynchronous multi-view learning approach for activity recognition using wearables.

In this paper, we introduce an Asynchronous Multiview Learning (AML) approach to allow accurate tran...

Day-to-day variability in hybrid, passive brain-computer interfaces: comparing two studies assessing cognitive workload.

As hybrid, passive brain-computer interface systems become more advanced, it is important to grow ou...

EEG classification for motor imagery and resting state in BCI applications using multi-class Adaboost extreme learning machine.

Brain-computer interface (BCI) systems provide an alternative communication and control approach for...

Laparoscopic Robot-Assisted Diaphragm Plication.

Minimally invasive approaches to diaphragm plication for eventration include thoracoscopic and lapar...

[The influence of the sedation based on remifentanil analgesia on the occurrence of delirium in critically ill patients].

OBJECTIVE: To investigate the influence of the midazolam sedation based on remifentanil analgesia on...

[Role and mechanism of the NOD-like receptor 3 inflammasome in ventilator-induced lung injury in rats].

OBJECTIVE: To investigate the role and its mechanism of the NOD-like receptor 3 (NLRP3) inflammasome...

[Reproduction of a model of "two-hit" sepsis model with complication of pneumonia in rat].

OBJECTIVE: To reproduce a clinically relevant "two-hit" model of sepsis complicated by pneumonia and...

[The value of passive leg raising test in predicting fluid responsiveness in patients with sepsis-induced cardiac dysfunction].

OBJECTIVE: To assess the value of passive leg raising (PLR) test in predicting fluid responsiveness ...

[Research on Early Identification of Bipolar Disorder Based on Multi-layer Perceptron Neural Network].

Multi-layer perceptron (MLP) neural network belongs to multi-layer feedforward neural network, and h...

[The blind source separation method based on self-organizing map neural network and convolution kernel compensation for multi-channel sEMG signals].

A new method based on convolution kernel compensation (CKC) for decomposing multi-channel surface el...

Sodium thiosulfate for the treatment of warfarin-induced calciphylaxis in a nondialysis patient.

Calciphylaxis or uremic arteriolopathy is a complex process typically seen in patients with end-stag...

Etiology and pathology of epidemic outbreaks of avian influenza H5N1 infection in Egyptian chicken farms.

Epidemic outbreaks of avian influenza (AI) virus H5N1 have been frequently reported in Egypt during ...

Dynamic partial reconfiguration implementation of the SVM/KNN multi-classifier on FPGA for bioinformatics application.

Bioinformatics data tend to be highly dimensional in nature thus impose significant computational de...

Multiple ocular diseases detection based on joint sparse multi-task learning.

In this paper, we present a multiple ocular diseases detection scheme based on joint sparse multi-ta...

A robo-pigeon based on an innovative multi-mode telestimulation system.

In this paper, we describe a new multi-mode telestimulation system for brain-microstimulation for th...

A label distance maximum-based classifier for multi-label learning.

Multi-label classification is useful in many bioinformatics tasks such as gene function prediction a...

Sleep snoring detection using multi-layer neural networks.

Snoring detection is important for diagnosing obstructive sleep apnea syndrome (OSAS) and other resp...

Patient-specific early classification of multivariate observations.

Early classification of time series has been receiving a lot of attention recently. In this paper we...

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