Critical Care

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

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Subcategories: Sepsis
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Cardiac Biomarkers and Left Ventricular Hypertrophy in Asymptomatic Hemodialysis Patients.

BACKGROUND: Cardiac biomarkers are often elevated in dialysis patients showing the presence of left ...

Neural Network Prediction of ICU Length of Stay Following Cardiac Surgery Based on Pre-Incision Variables.

BACKGROUND: Advanced predictive analytical techniques are being increasingly applied to clinical ris...

Endemicity of Acinetobacter calcoaceticus-baumannii Complex in an Intensive Care Unit in Malaysia.

Introduction. Acinetobacter calcoaceticus-baumannii complex (ACB complex) is a leading opportunistic...

Multi-view L2-SVM and its multi-view core vector machine.

In this paper, a novel L2-SVM based classifier Multi-view L2-SVM is proposed to address multi-view c...

Serial change of C1 inhibitor in patients with sepsis--a preliminary report.

OBJECTIVE: C1 inhibitor (C1INH) regulates not only the complement system but also the plasma kallikr...

Herpes simplex virus in bronchoalveolar lavage fluid of medical intensive care unit patients: Association with lung injury and outcome.

PURPOSE: In intensive care unit (ICU) patients in whom bronchoalveolar lavage fluid (BALF) was analy...

Powerful Tests for Multi-Marker Association Analysis Using Ensemble Learning.

Multi-marker approaches have received a lot of attention recently in genome wide association studies...

Evaluation of Protein-Energy Wasting and Inflammation on Patients Undergoing Continuous Ambulatory Peritoneal Dialysis and its Correlations.

BACKGROUND: Protein-energy wasting (PEW) and heightened inflammation are prevalent in patients under...

Cough event classification by pretrained deep neural network.

BACKGROUND: Cough is an essential symptom in respiratory diseases. In the measurement of cough sever...

Using Semantic Components to Represent Dynamics of an Interdisciplinary Healthcare Team in a Multi-Agent Decision Support System.

In healthcare organizations, clinical workflows are executed by interdisciplinary healthcare teams (...

A Boolean Consistent Fuzzy Inference System for Diagnosing Diseases and Its Application for Determining Peritonitis Likelihood.

Fuzzy inference systems (FIS) enable automated assessment and reasoning in a logically consistent ma...

Cytokine profiles in peritoneal dialysis effluent predicts the peritoneal solute transport rate in continuous ambulatory peritoneal dialysis patients.

Cytokine profiles in peritoneal dialysis effluent (PDE) vary among patients of continuous ambulatory...

Estimation of extravascular lung water using the transpulmonary ultrasound dilution (TPUD) method: a validation study in neonatal lambs.

Increased extravascular lung water (EVLW) may contribute to respiratory failure in neonates. Accurat...

Comparison of estimated glomerular filtration rate equations at the time of hemodialysis initiation.

BACKGROUND: Estimated glomerular filtration rate (eGFR) is one of the most important guidelines in d...

Development and Preliminary Evaluation of a Prototype of a Learning Electronic Medical Record System.

Electronic medical records (EMRs) are capturing increasing amounts of data per patient. For clinicia...

Causal Phenotype Discovery via Deep Networks.

The rapid growth of digital health databases has attracted many researchers interested in using mode...

Predicting drug side effects by multi-label learning and ensemble learning.

BACKGROUND: Predicting drug side effects is an important topic in the drug discovery. Although sever...

Bio-inspired homogeneous multi-scale place recognition.

Robotic mapping and localization systems typically operate at either one fixed spatial scale, or ove...

Goal-oriented robot navigation learning using a multi-scale space representation.

There has been extensive research in recent years on the multi-scale nature of hippocampal place cel...

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