Critical Care

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

7,427 articles
Stay Ahead - Weekly Critical Care research updates
Subscribe
Browse Categories
Subcategories: Sepsis
Showing 2122-2142 of 7,427 articles
A graph-based approach to multi-source heterogeneous information fusion in stock market.

The stock market is an important part of the capital market, and the research on the price fluctuati...

A benchmark study of deep learning-based multi-omics data fusion methods for cancer.

BACKGROUND: A fused method using a combination of multi-omics data enables a comprehensive study of ...

Early prediction of noninvasive ventilation failure after extubation: development and validation of a machine-learning model.

BACKGROUND: Noninvasive ventilation (NIV) has been widely used in critically ill patients after extu...

Water Quality Prediction Based on Multi-Task Learning.

Water pollution seriously endangers people's lives and restricts the sustainable development of the ...

A novel approach for COVID-19 Infection forecasting based on multi-source deep transfer learning.

COVID-19 is a contagious disease; so, predicting its future infections in a provincial region requir...

I-TASSER-MTD: a deep-learning-based platform for multi-domain protein structure and function prediction.

Most proteins in cells are composed of multiple folding units (or domains) to perform complex functi...

Explainable Artificial Intelligence Helps in Understanding the Effect of Fibronectin on Survival of Sepsis.

Fibronectin (FN) plays an essential role in the host's response to infection. In previous studies, a...

Comparative Convolutional Dynamic Multi-Attention Recommendation Model.

Recently, an attention mechanism has been used to help recommender systems grasp user interests more...

Predictions on multi-class terminal ballistics datasets using conditional Generative Adversarial Networks.

Ballistic impacts are a primary risk in both civil and military defence applications, where successf...

A new fuzzy rule based multi-objective optimization method for cross-scale injection molding of protein electrophoresis microfluidic chips.

Injection molding is one of the most promising technologies for the large-scale production and appli...

Prediction algorithm for ICU mortality and length of stay using machine learning.

Machine learning can predict outcomes and determine variables contributing to precise prediction, an...

Evaluating Ensemble Learning Methods for Multi-Modal Emotion Recognition Using Sensor Data Fusion.

Automatic recognition of human emotions is not a trivial process. There are many factors affecting e...

Towards in vivo ground truth susceptibility for single-orientation deep learning QSM: A multi-orientation gradient-echo MRI dataset.

Recently, deep neural networks have shown great potential for solving dipole inversion of quantitati...

An Efficient Multi-Scale Convolutional Neural Network Based Multi-Class Brain MRI Classification for SaMD.

A brain tumor is the growth of abnormal cells in certain brain tissues with a high mortality rate; t...

Neurochemical Concentration Prediction Using Deep Learning vs Principal Component Regression in Fast Scan Cyclic Voltammetry: A Comparison Study.

Neurotransmitters, such as dopamine and serotonin, are responsible for mediating a wide array of neu...

Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19.

To tune and test the generalizability of a deep learning-based model for assessment of COVID-19 lung...

A Highly Multi-Stable Meta-Structure via Anisotropy for Large and Reversible Shape Transformation.

Shape transformation offers the possibility of realizing devices whose 3D shape can be altered to ad...

Factors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment timing.

Machine learning-based clinical decision support tools for sepsis create opportunities to identify a...

A Machine Learning Model for Predicting Mortality within 90 Days of Dialysis Initiation.

BACKGROUND: The first 90 days after dialysis initiation are associated with high morbidity and morta...

Regularization Meets Enhanced Multi-Stage Fusion Features: Making CNN More Robust against White-Box Adversarial Attacks.

Regularization has become an important method in adversarial defense. However, the existing regulari...

Multi-task deep learning for glaucoma detection from color fundus images.

Glaucoma is an eye condition that leads to loss of vision and blindness if not diagnosed in time. Di...

Browse Categories