Critical Care

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

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Subcategories: Sepsis
Showing 3445-3465 of 7,482 articles
Detecting borderline infection in an automated monitoring system for healthcare-associated infection using fuzzy logic.

BACKGROUND: Many electronic infection detection systems employ dichotomous classification methods, c...

A self-taught artificial agent for multi-physics computational model personalization.

Personalization is the process of fitting a model to patient data, a critical step towards applicati...

Respiratory Artefact Removal in Forced Oscillation Measurements: A Machine Learning Approach.

GOAL: Respiratory artefact removal for the forced oscillation technique can be treated as an anomaly...

Identification of Multi-Functional Enzyme with Multi-Label Classifier.

Enzymes are important and effective biological catalyst proteins participating in almost all active ...

Monitoring of total positive end-expiratory pressure during mechanical ventilation by artificial neural networks.

Ventilation treatment of acute lung injury (ALI) requires the application of positive airway pressur...

Multi-modal vertebrae recognition using Transformed Deep Convolution Network.

Automatic vertebra recognition, including the identification of vertebra locations and naming in mul...

Bio-inspired, Moisture-Powered Hybrid Carbon Nanotube Yarn Muscles.

Hygromorph artificial muscles are attractive as self-powered actuators driven by moisture from the a...

An Efficacious Multi-Objective Fuzzy Linear Programming Approach for Optimal Power Flow Considering Distributed Generation.

This paper proposes a new formulation for the multi-objective optimal power flow (MOOPF) problem for...

Hierarchical Clustering Multi-Task Learning for Joint Human Action Grouping and Recognition.

This paper proposes a hierarchical clustering multi-task learning (HC-MTL) method for joint human ac...

Natural Language Processing for Cohort Discovery in a Discharge Prediction Model for the Neonatal ICU.

OBJECTIVES: Discharging patients from the Neonatal Intensive Care Unit (NICU) can be delayed for non...

A multi-layer network approach to MEG connectivity analysis.

Recent years have shown the critical importance of inter-regional neural network connectivity in sup...

Use of a Robotic Sampler (PIPER) for Evaluation of Particulate Matter Exposure and Eczema in Preschoolers.

While the association of eczema with asthma is well recognized, little research has focused on the p...

Multi-instance multi-label distance metric learning for genome-wide protein function prediction.

Multi-instance multi-label (MIML) learning has been proven to be effective for the genome-wide prote...

Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach.

OBJECTIVES: Predictive analytics in emergency care has mostly been limited to the use of clinical de...

Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition.

In general image recognition problems, discriminative information often lies in local image patches....

Multi-source adaptation joint kernel sparse representation for visual classification.

Most of the existing domain adaptation learning (DAL) methods relies on a single source domain to le...

Biomechanical and Physiological Evaluation of Multi-Joint Assistance With Soft Exosuits.

To understand the effects of soft exosuits on human loaded walking, we developed a reconfigurable mu...

Serum phosphate as an additional marker for initiating hemodialysis in patients with advanced chronic kidney disease.

BACKGROUND: Reconsidering when to initiate renal replacement therapy (RRT) in patients with chronic ...

Wheezing recognition algorithm using recordings of respiratory sounds at the mouth in a pediatric population.

BACKGROUND: Respiratory diseases in children are a common reason for physician visits. A diagnostic ...

Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment.

As shown in the literature, methods based on multiple templates usually achieve better performance, ...

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