Critical Care

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

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Showing 3214-3234 of 7,460 articles
Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer's Disease Diagnosis.

In the field of computer-aided Alzheimer's disease (AD) diagnosis, jointly identifying brain disease...

Convolutional Neural Networks with Template-Based Data Augmentation for Functional Lung Image Quantification.

RATIONALE AND OBJECTIVES: We propose an automated segmentation pipeline based on deep learning for p...

A Wearable Multi-Modal Bio-Sensing System Towards Real-World Applications.

Multi-modal bio-sensing has recently been used as effective research tools in affective computing, a...

Societal Issues Concerning the Application of Artificial Intelligence in Medicine.

BACKGROUND: Medicine is becoming an increasingly data-centred discipline and, beyond classical stati...

An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer TMA.

One of the methods for stratifying different molecular classes of breast cancer is the Nottingham pr...

A Time-Distributed Spatiotemporal Feature Learning Method for Machine Health Monitoring with Multi-Sensor Time Series.

Data-driven methods with multi-sensor time series data are the most promising approaches for monitor...

Extracting Biomedical Events with Parallel Multi-Pooling Convolutional Neural Networks.

Biomedical event extraction is important for medical research and disease prevention, which has attr...

Exponential consensus of discrete-time non-linear multi-agent systems via relative state-dependent impulsive protocols.

In this paper, we discuss the exponential consensus problem of discrete-time multi-agent systems wit...

Identification of a Novel Clinical Phenotype of Severe Malaria using a Network-Based Clustering Approach.

The parasite Plasmodium falciparum is the main cause of severe malaria (SM). Despite treatment with ...

Exploiting MEDLINE for gene molecular function prediction via NMF based multi-label classification.

Gene ontology (GO) provides a representation of terms and categories used to describe genes and thei...

Big data and machine learning in critical care: Opportunities for collaborative research.

The introduction of clinical information systems (CIS) in Intensive Care Units (ICUs) offers the pos...

Neural multi-atlas label fusion: Application to cardiac MR images.

Multi-atlas segmentation approach is one of the most widely-used image segmentation techniques in bi...

Detection of Talking in Respiratory Signals: A Feasibility Study Using Machine Learning and Wearable Textile-Based Sensors.

Social isolation and loneliness are major health concerns in young and older people. Traditional app...

Prognostication and Risk Factors for Cystic Fibrosis via Automated Machine Learning.

Accurate prediction of survival for cystic fibrosis (CF) patients is instrumental in establishing th...

Improved multi-view privileged support vector machine.

Multi-view learning (MVL) concentrates on the problem of learning from the data represented by multi...

Ensemble Learning Approach via Kalman Filtering for a Passive Wearable Respiratory Monitor.

OBJECTIVE: Utilizing passive radio frequency identification (RFID) tags embedded in knitted smart-ga...

Quality of life with conservative care compared with assisted peritoneal dialysis and haemodialysis.

BACKGROUND: There is little information about quality of life (QoL) for patients with end-stage kidn...

Estimating risk of severe neonatal morbidity in preterm births under 32 weeks of gestation.

A large recent study analyzed the relationship between multiple factors and neonatal outcome and in...

Mining patterns of comorbidity evolution in patients with multiple chronic conditions using unsupervised multi-level temporal Bayesian network.

Over the past few decades, the rise of multiple chronic conditions has become a major concern for cl...

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