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Subcategories: Sepsis

Showing 1996-2016 of 5,092 articles

Systematic Identification of Machine-Learning Models Aimed to Classify Critical Residues for Protein Function from Protein Structure.

Protein structure and protein function should be related, yet the nature of this relationship remain...

Oct 2017 28991206

Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach.

BACKGROUND: Mortality prediction of hospitalized patients is an important problem. Over the past few...

Oct 2017 29132626

Investigation of damage to Escherichia coli, Listeria monocytogenes and Salmonella Enteritidis exposed to Mentha arvensis L. and M. piperita L. essential oils in pineapple and mango juice by flow cytometry.

The effects of Mentha arvensis L. (MAEO; 0.625 μL/mL) and M. piperita L. (MPEO; 1.25 μL/mL) essentia...

Sep 2017 30166188

Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: a cross-sectional machine learning approach.

OBJECTIVES: Unplanned readmissions to the intensive care unit (ICU) are highly undesirable, increasi...

Sep 2017 28918412

Clinical management of patients on peritoneal dialysis in Italy: results from the ATENA study.

BACKGROUND: In Italy, few studies have examined the clinical management of peritoneal dialysis (PD) ...

Sep 2017 29644071

Combining Biomarkers with EMR Data to Identify Patients in Different Phases of Sepsis.

Sepsis is a leading cause of death and is the most expensive condition to treat in U.S. hospitals. D...

Sep 2017 28883645

Neural Network Classifier for Automatic Detection of Invasive Versus Noninvasive Airway Management Technique Based on Respiratory Monitoring Parameters in a Pediatric Anesthesia.

Children undergoing general anesthesia require airway monitoring by an anesthesia provider. The airw...

Aug 2017 28836107

Learning representations for the early detection of sepsis with deep neural networks.

BACKGROUND: Sepsis is one of the leading causes of death in intensive care unit patients. Early dete...

Aug 2017 28843829

Respiratory signal prediction based on adaptive boosting and multi-layer perceptron neural network.

To improve the prediction accuracy of respiratory signals using adaptive boosting and multi-layer pe...

Aug 2017 28665297

Renal recovery after severe acute kidney injury in critically ill myeloma patients: a retrospective study.

BACKGROUND: Despite substantial improvements in the management of multiple myeloma, renal failure re...

Jul 2017 29423196

Impairment of Thyroid Function in Critically Ill Patients in the Intensive Care Units.

Unexplained hypotension in the intensive care unit is commonly attributed to volume depletion, cardi...

Jul 2017 29549931

Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model.

Automated breast cancer multi-classification from histopathological images plays a key role in compu...

Jun 2017 28646155

Comparative Simulation Study of Glucose Control Methods Designed for Use in the Intensive Care Unit Setting via a Novel Controller Scoring Metric.

BACKGROUND: Effective glucose control in the intensive care unit (ICU) setting has the potential to ...

Jun 2017 28637358

ADMET Evaluation in Drug Discovery. Part 17: Development of Quantitative and Qualitative Prediction Models for Chemical-Induced Respiratory Toxicity.

As a dangerous end point, respiratory toxicity can cause serious adverse health effects and even dea...

Jun 2017 28595388

Early Detection of Peak Demand Days of Chronic Respiratory Diseases Emergency Department Visits Using Artificial Neural Networks.

Chronic respiratory diseases, mainly asthma and chronic obstructive pulmonary disease (COPD), affect...

Apr 2017 28459697

Adaptive neuro-fuzzy inference system for breath phase detection and breath cycle segmentation.

BACKGROUND: The monitoring of the respiratory rate is vital in several medical conditions, including...

Apr 2017 28552127

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...

Mar 2017 28318629

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 ...

Feb 2017 28074528

Browse Categories

Systematic Identification of Machine-Learning Models Aimed to Classify Critical Residues for Protein Function from Protein Structure.

Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach.

Investigation of damage to Escherichia coli, Listeria monocytogenes and Salmonella Enteritidis exposed to Mentha arvensis L. and M. piperita L. essential oils in pineapple and mango juice by flow cytometry.

Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: a cross-sectional machine learning approach.

Clinical management of patients on peritoneal dialysis in Italy: results from the ATENA study.

Combining Biomarkers with EMR Data to Identify Patients in Different Phases of Sepsis.

Neural Network Classifier for Automatic Detection of Invasive Versus Noninvasive Airway Management Technique Based on Respiratory Monitoring Parameters in a Pediatric Anesthesia.

Learning representations for the early detection of sepsis with deep neural networks.

Respiratory signal prediction based on adaptive boosting and multi-layer perceptron neural network.

Renal recovery after severe acute kidney injury in critically ill myeloma patients: a retrospective study.

Impairment of Thyroid Function in Critically Ill Patients in the Intensive Care Units.

Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model.

Comparative Simulation Study of Glucose Control Methods Designed for Use in the Intensive Care Unit Setting via a Novel Controller Scoring Metric.

ADMET Evaluation in Drug Discovery. Part 17: Development of Quantitative and Qualitative Prediction Models for Chemical-Induced Respiratory Toxicity.

Early Detection of Peak Demand Days of Chronic Respiratory Diseases Emergency Department Visits Using Artificial Neural Networks.

Adaptive neuro-fuzzy inference system for breath phase detection and breath cycle segmentation.

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

Respiratory motion compensation for the robot-guided laser osteotome.

Prediction of Adverse Events in Patients Undergoing Major Cardiovascular Procedures.

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

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

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