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Care of terminally ill / Palliative care

Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.

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Showing 43-63 of 6,157 articles
S4-KD: A single step spiking SiamFC+ + for object tracking with knowledge distillation.

Spiking neural networks (SNNs), which transmit information through binary spikes, have the advantage...

TransformDDI: The Transformer-Based Joint Multi-Task Model for End-to-End Drug-Drug Interaction Extraction.

Drug-Drug Interactions (DDI) identification is a part of the drug safety process, that focuses at av...

A Novel Hierarchical Cross-Stream Aggregation Neural Network for Semantic Segmentation of 3-D Dental Surface Models.

Accurate teeth delineation on 3-D dental models is essential for individualized orthodontic treatmen...

Effects of Renal Function on the Multimodal Brain Networks Affecting Mild Cognitive Impairment Converters in End-Stage Renal Disease.

RATIONALE AND OBJECTIVES: Cognitive decline is common in End-Stage Renal Disease (ESRD) patients, ye...

Machine learning models to predict osteoporosis in patients with chronic kidney disease stage 3-5 and end-stage kidney disease.

Chronic kidney disease-mineral bone disorder is a common complication in patients with chronic kidne...

Model interpretability on private-safe oriented student dropout prediction.

Student dropout is a significant social issue with extensive implications for individuals and societ...

Electric vehicle braking energy recovery control method integrating fuzzy control and improved firefly algorithm.

Braking energy recovery is crucial for improving the energy efficiency and extending the range of el...

Leveraging Extended Windows in End-to-End Deep Learning for Improved Continuous Myoelectric Locomotion Prediction.

Current surface electromyography (sEMG) methods for locomotion mode prediction face limitations in a...

PULSE: A DL-Assisted Physics-Based Approach to the Inverse Problem of Electrocardiography.

This study introduces an innovative approach combining deep-learning techniques with classical physi...

Deep Learning for High Speed Optical Coherence Elastography With a Fiber Scanning Endoscope.

Tissue stiffness is related to soft tissue pathologies and can be assessed through palpation or via ...

Effects of Dietary Gamma-Aminobutyric Acid (GABA) Inclusion on Acute Temperature Stress Responses in Juvenile Olive Flounder ().

This study investigated the potential of dietary gamma-aminobutyric acid (GABA) inclusion to mitigat...

Multitask Deep Learning Models of Combined Industrial Absorption, Distribution, Metabolism, and Excretion Datasets to Improve Generalization.

The optimization of absorption, distribution, metabolism, and excretion (ADME) profiles of compounds...

Learning Consistent Semantic Representation for Chest X-ray via Anatomical Localization in Self-Supervised Pre-Training.

Despite the similar global structures in Chest X-ray (CXR) images, the same anatomy exhibits varying...

BINDTI: A Bi-Directional Intention Network for Drug-Target Interaction Identification Based on Attention Mechanisms.

The identification of drug-target interactions (DTIs) is an essential step in drug discovery. In vit...

Enhancing diagnosis prediction with adaptive disease representation learning.

Diagnosis prediction predicts which diseases a patient is most likely to suffer from in the future b...

Prediction of zinc, cadmium, and arsenic in european soils using multi-end machine learning models.

Heavy metal contamination in soil is a major environmental and public health concern, especially in ...

End-User Confidence in Artificial Intelligence-Based Predictions Applied to Biomedical Data.

Applications of Artificial Intelligence (AI) are revolutionizing biomedical research and healthcare ...

Transforming residential water end use analysis: unleashing insights from widespread low-resolution smart metering data.

Transforming smart meter data captured at low-resolution litre intervals of 15 to 60 mins into resid...

Artificial Intelligence in Commercial Industry: Serving the End-to-End Patient Experience Across the Digital Ecosystem.

The purpose of this article is to evaluate the application of artificial intelligence (AI) from the ...

Research on Upper Limb Motion Intention Classification and Rehabilitation Robot Control Based on sEMG.

sEMG is a non-invasive biomedical engineering technique that can detect and record electrical signal...

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