Critical Care

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

7,482 articles
Stay Ahead - Weekly Critical Care research updates
Subscribe
Browse Categories
Subcategories: Sepsis
Showing 3361-3381 of 7,482 articles
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...

A multi-perspective evaluation of a service robot for seniors: the voice of different stakeholders.

PURPOSE: The potential of service robots for seniors is given increasing attention as the ageing pop...

Automated diagnosis of prostate cancer in multi-parametric MRI based on multimodal convolutional neural networks.

Automated methods for prostate cancer (PCa) diagnosis in multi-parametric magnetic resonance imaging...

pLoc-mVirus: Predict subcellular localization of multi-location virus proteins via incorporating the optimal GO information into general PseAAC.

Knowledge of subcellular locations of proteins is crucially important for in-depth understanding the...

Urban air quality forecasting based on multi-dimensional collaborative Support Vector Regression (SVR): A case study of Beijing-Tianjin-Shijiazhuang.

Today, China is facing a very serious issue of Air Pollution due to its dreadful impact on the human...

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...

Multi-label classification methods for improving comorbidities identification.

The medical diagnostic process may be supported by computational classification techniques. In many ...

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...

Application of machine learning classification for structural brain MRI in mood disorders: Critical review from a clinical perspective.

Mood disorders are a highly prevalent group of mental disorders causing substantial socioeconomic bu...

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...

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 ...

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...

Multi-Velocity Encoding Four-Dimensional Flow Magnetic Resonance Imaging in the Assessment of Chronic Aortic Dissection.

BACKGROUND: Chronic descending thoracic aortic dissection (CDTAD) following surgical repair of ascen...

Medical image classification based on multi-scale non-negative sparse coding.

With the rapid development of modern medical imaging technology, medical image classification has be...

Infrastructure and distributed learning methodology for privacy-preserving multi-centric rapid learning health care: euroCAT.

Machine learning applications for personalized medicine are highly dependent on access to sufficient...

Drug Target Prediction by Multi-View Low Rank Embedding.

Drug repositioning has been a key problem in drug development, and heterogeneous data sources are us...

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...

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...

Pareto-optimal multi-objective dimensionality reduction deep auto-encoder for mammography classification.

BACKGROUND AND OBJECTIVE: Feature reduction is an essential stage in computer aided breast cancer di...

A Pareto-based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets.

Imbalanced classification is related to those problems that have an uneven distribution among classe...

Creating an automated trigger for sepsis clinical decision support at emergency department triage using machine learning.

OBJECTIVE: To demonstrate the incremental benefit of using free text data in addition to vital sign ...

Browse Categories