Critical Care

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

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Subcategories: Sepsis
Showing 3382-3402 of 7,482 articles
Cellular computational generalized neuron network for frequency situational intelligence in a multi-machine power system.

To prevent large interconnected power system from a cascading failure, brownout or even blackout, gr...

Machine-learning algorithms define pathogen-specific local immune fingerprints in peritoneal dialysis patients with bacterial infections.

The immune system has evolved to sense invading pathogens, control infection, and restore tissue int...

Online Classification of Contaminants Based on Multi-Classification Support Vector Machine Using Conventional Water Quality Sensors.

Water quality early warning system is mainly used to detect deliberate or accidental water pollution...

Respiratory motion compensation for the robot-guided laser osteotome.

PURPOSE: The use of a robot-guided laser osteotome for median sternotomy is impeded by prohibiting c...

Prediction of Adverse Events in Patients Undergoing Major Cardiovascular Procedures.

Electronic health records (EHR) provide opportunities to leverage vast arrays of data to help preven...

Hybrid parameter identification of a multi-modal underwater soft robot.

We introduce an octopus-inspired, underwater, soft-bodied robot capable of performing waterborne pul...

Prediction of Prolonged Ventilation after Coronary Artery Bypass Grafting: Data from an Artificial Neural Network.

OBJECTIVES: The need for mechanical ventilation 24 hours after coronary artery bypass grafting (CABG...

Respiratory motion prediction and prospective correction for free-breathing arterial spin-labeled perfusion MRI of the kidneys.

PURPOSE: Respiratory motion prediction using an artificial neural network (ANN) was integrated with ...

Controlling testing volume for respiratory viruses using machine learning and text mining.

Viral testing for pediatric inpatients with respiratory symptoms is common, with considerable associ...

Knowledge as a Service at the Point of Care.

An electronic health record (EHR) can assist the delivery of high-quality patient care, in part by p...

Predicting Prolonged Stay in the ICU Attributable to Bleeding in Patients Offered Plasma Transfusion.

In blood transfusion studies, plasma transfusion (PPT) and bleeding are known to be associated with ...

Interpretable Deep Models for ICU Outcome Prediction.

Exponential surge in health care data, such as longitudinal data from electronic health records (EHR...

Multi-Instance Metric Transfer Learning for Genome-Wide Protein Function Prediction.

Multi-Instance (MI) learning has been proven to be effective for the genome-wide protein function pr...

Disorder recognition in clinical texts using multi-label structured SVM.

BACKGROUND: Information extraction in clinical texts enables medical workers to find out problems of...

Diagnostic value of sTREM-1 and procalcitonin levels in the early diagnosis of sepsis.

OBJECTIVE: Sepsis is still major cause of morbidity and mortality, despite improvements in diagnosis...

Multi-Robot Coalitions Formation with Deadlines: Complexity Analysis and Solutions.

Multi-robot task allocation is one of the main problems to address in order to design a multi-robot ...

Systematic assessment of multi-gene predictors of pan-cancer cell line sensitivity to drugs exploiting gene expression data.

Selected gene mutations are routinely used to guide the selection of cancer drugs for a given patie...

Long-term outcome in biopsy-proven acute interstitial nephritis treated with steroids.

There are no prospective randomized controlled trials describing the outcome of acute interstitial ...

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