Hospital-Based Medicine

Intensivists

Latest AI and machine learning research in intensivists for healthcare professionals.

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Showing 1975-1995 of 6,177 articles
Stochastic DCA for minimizing a large sum of DC functions with application to multi-class logistic regression.

We consider the large sum of DC (Difference of Convex) functions minimization problem which appear i...

Multi-dimensional predictions of psychotic symptoms via machine learning.

The diagnostic criteria for schizophrenia comprise a diverse range of heterogeneous symptoms. As a r...

Machine learning based refined differential gene expression analysis of pediatric sepsis.

BACKGROUND: Differential expression (DE) analysis of transcriptomic data enables genome-wide analysi...

MGAT: Multi-view Graph Attention Networks.

Multi-view graph embedding is aimed at learning low-dimensional representations of nodes that captur...

Design of a hybrid ANN multi-objective whale algorithm for suspended sediment load prediction.

There is a need to develop an accurate and reliable model for predicting suspended sediment load (SS...

Exploring augmented grasping capabilities in a multi-synergistic soft bionic hand.

BACKGROUND: State-of-the-art bionic hands incorporate hi-tech devices which try to overcome limitati...

Utilization of machine-learning models to accurately predict the risk for critical COVID-19.

Among patients with Coronavirus disease (COVID-19), the ability to identify patients at risk for det...

Multi-AI competing and winning against humans in iterated Rock-Paper-Scissors game.

Predicting and modeling human behavior and finding trends within human decision-making processes is ...

A Single-Center Evaluation of Extended Infusion Piperacillin/Tazobactam for Empiric Treatment in the Intensive Care Unit.

Piperacillin/tazobactam (PTZ) extended infusion (EI) is often used empirically in the intensive car...

Integrating multi-omics data by learning modality invariant representations for improved prediction of overall survival of cancer.

Breast and ovarian cancers are the second and the fifth leading causes of cancer death among women. ...

Classifying Breast Cancer Subtypes Using Deep Neural Networks Based on Multi-Omics Data.

With the high prevalence of breast cancer, it is urgent to find out the intrinsic difference between...

Detection of Bacteremia in Surgical In-Patients Using Recurrent Neural Network Based on Time Series Records: Development and Validation Study.

BACKGROUND: Detecting bacteremia among surgical in-patients is more obscure than other patients due ...

MetalGAN: Multi-domain label-less image synthesis using cGANs and meta-learning.

Image synthesis is currently one of the most addressed image processing topic in computer vision and...

Deep adaptive registration of multi-modal prostate images.

Artificial intelligence, especially the deep learning paradigm, has posed a considerable impact on c...

Optimal Selection of Sewage Treatment Technologies in Town Areas: A Coupled Multi-Criteria Decision-Making Model.

In recent years, the development of sewage treatment technologies has made many treatment options av...

Unsupervised multi-domain multimodal image-to-image translation with explicit domain-constrained disentanglement.

Image-to-image translation has drawn great attention during the past few years. It aims to translate...

Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS).

PURPOSE: Acute respiratory distress syndrome (ARDS) is a serious respiratory condition with high mor...

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