Critical Care

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

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Showing 3319-3339 of 7,460 articles
Radiology report annotation using intelligent word embeddings: Applied to multi-institutional chest CT cohort.

We proposed an unsupervised hybrid method - Intelligent Word Embedding (IWE) that combines neural em...

3D multi-view convolutional neural networks for lung nodule classification.

The 3D convolutional neural network (CNN) is able to make full use of the spatial 3D context informa...

Risk-aware multi-armed bandit problem with application to portfolio selection.

Sequential portfolio selection has attracted increasing interest in the machine learning and quantit...

Template-based and free modeling of I-TASSER and QUARK pipelines using predicted contact maps in CASP12.

We develop two complementary pipelines, "Zhang-Server" and "QUARK", based on I-TASSER and QUARK pipe...

Perception and Respiratory Responses of the Upper Airway Mechanism to Added Resistance With Aging.

OBJECTIVES: To assess breathing behaviors and perception of added respiratory loads in young compare...

Multi-task transfer learning deep convolutional neural network: application to computer-aided diagnosis of breast cancer on mammograms.

Transfer learning in deep convolutional neural networks (DCNNs) is an important step in its applicat...

A Bi-Objective RNN Model to Reconstruct Gene Regulatory Network: A Modified Multi-Objective Simulated Annealing Approach.

Gene Regulatory Network (GRN) is a virtual network in a cellular context of an organism, comprising ...

Effect of a machine learning-based severe sepsis prediction algorithm on patient survival and hospital length of stay: a randomised clinical trial.

INTRODUCTION: Several methods have been developed to electronically monitor patients for severe seps...

Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database.

Deep learning emerges as a powerful tool for analyzing medical images. Retinal disease detection by ...

[Assessment of diet in patients with chronic kidney diseases without dialysis and relationship with the nutritional status].

BACKGROUND: Diet is one of the pillars of the treatment for patients with chronic kidney disease wit...

First Ever Use of Proton Stereotactic Body Radiation Therapy Delivered with Curative Intent to Bilateral Synchronous Primary Renal Cell Carcinomas.

Limited therapeutic options exist for inoperable bilateral kidney tumors. We report the first ever u...

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...

Nonlinearity-aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI measures.

Alzheimer's disease (AD) has been not only a substantial financial burden to the health care system ...

Deep Learning-Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer.

Identifying robust survival subgroups of hepatocellular carcinoma (HCC) will significantly improve p...

SNAVA-A real-time multi-FPGA multi-model spiking neural network simulation architecture.

Spiking Neural Networks (SNN) for Versatile Applications (SNAVA) simulation platform is a scalable a...

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...

ECG data compression using a neural network model based on multi-objective optimization.

Electrocardiogram (ECG) data analysis is of great significance to the diagnosis of cardiovascular di...

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