Critical Care

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

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Showing 2080-2100 of 7,427 articles
Sustainable supply chain partner selection and order allocation: A hybrid fuzzy PL-TODIM based MCGDM approach.

Sustainability, as a trend of social development and the embodiment of corporate social responsibili...

Gaze-assisted automatic captioning of fetal ultrasound videos using three-way multi-modal deep neural networks.

In this work, we present a novel gaze-assisted natural language processing (NLP)-based video caption...

How smart senior care can achieve value co-creation: Evidence from China.

With the rapid rise of artificial intelligence, smart senior care has become a new trend for future ...

A Concise Yet Effective Model for Non-Aligned Incomplete Multi-View and Missing Multi-Label Learning.

In reality, learning from multi-view multi-label data inevitably confronts three challenges: missing...

Act Like a Radiologist: Towards Reliable Multi-View Correspondence Reasoning for Mammogram Mass Detection.

Mammogram mass detection is crucial for diagnosing and preventing the breast cancers in clinical pra...

HEp-2 image classification using a multi-class and multiple-binary classifier.

In medicine, identifying the indirect immunofluorescence of human epithelial type 2 (HEp-2) cells pl...

Multi-Agent Multi-View Collaborative Perception Based on Semi-Supervised Online Evolutive Learning.

In the edge intelligence environment, multiple sensing devices perceive and recognize the current sc...

Loosening Identification of Multi-Bolt Connections Based on Wavelet Transform and ResNet-50 Convolutional Neural Network.

A high-strength bolt connection is the key component of large-scale steel structures. Bolt loosening...

Identification of DNA-binding proteins via Multi-view LSSVM with independence criterion.

DNA-binding proteins actively participate in life activities such as DNA replication, recombination,...

Multi-Task Neural Networks and Molecular Fingerprints to Enhance Compound Identification from LC-MS/MS Data.

Mass spectrometry (MS) is widely used for the identification of chemical compounds by matching the e...

MCluster-VAEs: An end-to-end variational deep learning-based clustering method for subtype discovery using multi-omics data.

The discovery of cancer subtypes based on unsupervised clustering helps in providing a precise diagn...

Multi-granularity heterogeneous graph attention networks for extractive document summarization.

Extractive document summarization is a fundamental task in natural language processing (NLP). Recent...

Multi-input multi-output temporal convolutional network for predicting the long-term water quality of ocean ranches.

The prediction of water quality parameters is of great significance to the control of marine environ...

MMDCP: Multi-Modal Dental Caries Prediction for Decision Support System Using Deep Learning.

In recent years, healthcare has gained unprecedented attention from researchers in the field of Huma...

Multi-Modal Graph Learning for Disease Prediction.

Benefiting from the powerful expressive capability of graphs, graph-based approaches have been popul...

Improving the prediction of DNA-protein binding by integrating multi-scale dense convolutional network with fault-tolerant coding.

Accurate prediction of DNA-protein binding (DPB) is of great biological significance for studying th...

Multi-Level Classification of Driver Drowsiness by Simultaneous Analysis of ECG and Respiration Signals Using Deep Neural Networks.

The high number of fatal crashes caused by driver drowsiness highlights the need for developing reli...

Balancing national economic policy outcomes for sustainable development.

The 2030 Sustainable Development Goals (SDGs) aim at jointly improving economic, social, and environ...

A pre-impact fall detection data segmentation method based on multi-channel convolutional neural network and class activation mapping.

A segmentation method for pre-impact fall detection data is investigated. Specifically, it studies h...

Occupational health and safety risk assessment using a fuzzy multi-criteria approach in a hospital in Chennai, India.

Hospitals provide direct and indirect employment benefits to medical professionals. Accidents in ho...

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