Critical Care

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

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Showing 3487-3507 of 7,482 articles
Multi-AUV Target Search Based on Bioinspired Neurodynamics Model in 3-D Underwater Environments.

Target search in 3-D underwater environments is a challenge in multiple autonomous underwater vehicl...

Pain Intensity Recognition Rates via Biopotential Feature Patterns with Support Vector Machines.

BACKGROUND: The clinically used methods of pain diagnosis do not allow for objective and robust meas...

Using Arden Syntax for the creation of a multi-patient surveillance dashboard.

OBJECTIVE: Most practically deployed Arden-Syntax-based clinical decision support (CDS) modules proc...

Real alerts and artifact classification in archived multi-signal vital sign monitoring data: implications for mining big data.

Huge hospital information system databases can be mined for knowledge discovery and decision support...

Information extraction from multi-institutional radiology reports.

OBJECTIVES: The radiology report is the most important source of clinical imaging information. It do...

Using Arden Syntax Medical Logic Modules to reduce overutilization of laboratory tests for detection of bacterial infections-Success or failure?

OBJECTIVE: Bacterial infections frequently cause prolonged intensive care unit (ICU) stays. Repeated...

Sparse Markov chain-based semi-supervised multi-instance multi-label method for protein function prediction.

Automated assignment of protein function has received considerable attention in recent years for gen...

Multi-Objective Particle Swarm Optimization Approach for Cost-Based Feature Selection in Classification.

Feature selection is an important data-preprocessing technique in classification problems such as bi...

Improvement in the Prediction of Ventilator Weaning Outcomes by an Artificial Neural Network in a Medical ICU.

BACKGROUND: Twenty-five to 40% of patients pass a spontaneous breathing trial (SBT) but fail to wean...

Mem-mEN: Predicting Multi-Functional Types of Membrane Proteins by Interpretable Elastic Nets.

Membrane proteins play important roles in various biological processes within organisms. Predicting ...

Multi-location gram-positive and gram-negative bacterial protein subcellular localization using gene ontology and multi-label classifier ensemble.

BACKGROUND: It has become a very important and full of challenge task to predict bacterial protein s...

Hierarchical multi-class SVM with ELM kernel for epileptic EEG signal classification.

In this paper, a novel hierarchical multi-class SVM (H-MSVM) with extreme learning machine (ELM) as ...

Accuracy of Robotic Radiosurgical Liver Treatment Throughout the Respiratory Cycle.

PURPOSE: To quantify random uncertainties in robotic radiosurgical treatment of liver lesions with r...

Advantages of Task-Specific Multi-Objective Optimisation in Evolutionary Robotics.

The application of multi-objective optimisation to evolutionary robotics is receiving increasing att...

Sleep stage classification with ECG and respiratory effort.

Automatic sleep stage classification with cardiorespiratory signals has attracted increasing attenti...

Pathology Image of the Month:Cough and Shortness of Breath in a Noncompliant Patient with HIV/AIDS.

A 37- year-old man with human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) w...

Levosimendan improves exercise performance in patients with advanced chronic heart failure.

AIMS: Cardiopulmonary exercise test (CPET) provides parameters such as peak VO and ventilation/CO pr...

Application of a UPLC-MS/MS method to the protein binding study of TM-2 in rat, human and beagle dog plasma.

TM-2 known as a potential antitumor drug is a novel semi-synthetic taxane derivative. As drug-protei...

A methodological evaluation and predictive in silico investigation into the multi-functionality of arginine in directly compressed tablets.

The acceleration of solid dosage form product development can be facilitated by the inclusion of exc...

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