Critical Care

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

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Detection of abnormalities in ultrasound lung image using multi-level RVM classification.

The classification of abnormalities in ultrasound images is the monitoring tool of fluid to air pass...

Performance comparison of multi-label learning algorithms on clinical data for chronic diseases.

We are motivated by the issue of classifying diseases of chronically ill patients to assist physicia...

Overtaking method based on sand-sifter mechanism: Why do optimistic value functions find optimal solutions in multi-armed bandit problems?

A multi-armed bandit problem is a search problem on which a learning agent must select the optimal a...

Respiratory gas exchange during robotic-assisted laparoscopic radical prostatectomy.

STUDY OBJECTIVE: Robotic-assisted laparoscopic prostatectomy requires patients to be secured in a st...

Augmented Robotics Dialog System for Enhancing Human-Robot Interaction.

Augmented reality, augmented television and second screen are cutting edge technologies that provide...

Robotic Telepresence in a Medical Intensive Care Unit--Clinicians' Perceptions.

BACKGROUND: Robotic telepresence has been used for outsourcing of healthcare services for more than ...

Realization problem of multi-layer cellular neural networks.

This paper investigates whether the output space of a multi-layer cellular neural network can be rea...

Prediction of feature genes in trauma patients with the TNF rs1800629 A allele using support vector machine.

BACKGROUND: Tumor necrosis factor (TNF)-α variant is closely linked to sepsis syndrome and mortality...

Deep sparse multi-task learning for feature selection in Alzheimer's disease diagnosis.

Recently, neuroimaging-based Alzheimer's disease (AD) or mild cognitive impairment (MCI) diagnosis h...

Clinical Documents Clustering Based on Medication/Symptom Names Using Multi-View Nonnegative Matrix Factorization.

Clinical documents are rich free-text data sources containing valuable medication and symptom inform...

Octopus-inspired multi-arm robotic swimming.

The outstanding locomotor and manipulation characteristics of the octopus have recently inspired the...

A global optimization approach to multi-polarity sentiment analysis.

Following the rapid development of social media, sentiment analysis has become an important social m...

A multi-label learning based kernel automatic recommendation method for support vector machine.

Choosing an appropriate kernel is very important and critical when classifying a new problem with Su...

A priori data-driven multi-clustered reservoir generation algorithm for echo state network.

Echo state networks (ESNs) with multi-clustered reservoir topology perform better in reservoir compu...

Multi-focus cluster labeling.

Document collections resulting from searches in the biomedical literature, for instance, in PubMed, ...

Types of vicarious learning experienced by pre-dialysis patients.

OBJECTIVE: Haemodialysis and peritoneal dialysis renal replacement treatment options are in clinical...

Semantic network mapping of religious material: testing multi-agent computer models of social theories against real-world data.

Agent-based modeling allows researchers to investigate theories of complex social phenomena and subs...

Running up a wall: the role and challenges of dynamic climbing in enhancing multi-modal legged systems.

Animals have demonstrated the ability to move through, across and over some of the most daunting env...

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