AIMC Journal:
IEEE journal of biomedical and health informatics

Showing 211 to 220 of 1081 articles

A General DNA-Like Hybrid Symbiosis Framework: An EEG Cognitive Recognition Method.

IEEE journal of biomedical and health informatics Nov 6, 2024
In electroencephalogram (EEG) cognitive recognition research, the combined use of artificial neural networks (ANNs) and spiking neural networks (SNNs) plays an important role to realize different categories of recognition tasks. However, most of the ...
DNA Electroencephalography Signal Processing, Computer-Assisted Humans Algorithms Neural Networks, Computer Pattern Recognition, Automated Cognition
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Generating Biomedical Hypothesis With Spatiotemporal Transformers.

IEEE journal of biomedical and health informatics Nov 6, 2024
Generating biomedical hypotheses is a difficult task as it requires uncovering the implicit associations between massive scientific terms from a large body of published literature. A recent line of Hypothesis Generation (HG) approaches - temporal gra...
Algorithms Biomedical Research Humans Neural Networks, Computer Computational Biology
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Generative AI in the Advancement of Viral Therapeutics for Predicting and Targeting Immune-Evasive SARS-CoV-2 Mutations.

IEEE journal of biomedical and health informatics Nov 6, 2024
The emergence of immune-evasive mutations in the SARS-CoV-2 spike protein is consistently challenging existing vaccines and therapies, making precise prediction of their escape potential a critical imperative. Artificial Intelligence(AI) holds great ...
Mutation Artificial Intelligence COVID-19 Spike Glycoprotein, Coronavirus SARS-CoV-2 Computational Biology Humans
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Federated Learning With Deep Neural Networks: A Privacy-Preserving Approach to Enhanced ECG Classification.

IEEE journal of biomedical and health informatics Nov 6, 2024
In response to increasing data privacy regulations, this work examines the use of federated learning for deep residual networks to diagnose cardiac abnormalities from electrocardiogram (ECG) data. This approach allows medical institutions to collabor...
Neural Networks, Computer Databases, Factual Electrocardiography Signal Processing, Computer-Assisted Deep Learning Humans Privacy
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Characterizing the Contribution of Dependent Features in XAI Methods.

IEEE journal of biomedical and health informatics Nov 6, 2024
Explainable Artificial Intelligence (XAI) provides tools to help understanding how AI models work and reach a particular decision or outcome. It helps to increase the interpretability of models and makes them more trustworthy and transparent. In this...
Female Adult Artificial Intelligence Male Algorithms Humans
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Uncertainty-Aware Health Diagnostics via Class-Balanced Evidential Deep Learning.

IEEE journal of biomedical and health informatics Nov 6, 2024
Uncertainty quantification is critical for ensuring the safety of deep learning-enabled health diagnostics, as it helps the model account for unknown factors and reduces the risk of misdiagnosis. However, existing uncertainty quantification studies o...
Uncertainty Diagnosis, Computer-Assisted Deep Learning Humans Algorithms
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Multi-Loss Disentangled Generative-Discriminative Learning for Multimodal Representation in Schizophrenia.

IEEE journal of biomedical and health informatics Nov 6, 2024
Schizophrenia (SCZ) is a multifactorial mental illness, thus it will be beneficial for exploring this disease using multimodal data, including functional magnetic resonance imaging (fMRI), genes, and the gut microbiome. Previous studies reported comb...
Gastrointestinal Microbiome Magnetic Resonance Imaging Adult Male Image Interpretation, Computer-Assisted Multimodal Imaging Schizophrenia Machine Learning Algorithms Female Young Adult Brain Humans
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Integrating Smart Computility for Subflow Orchestration in Remote Virtual Services.

IEEE journal of biomedical and health informatics Nov 6, 2024
The burgeoning domain of the metaverse has sparked significant interest from a diverse array of industries, including healthcare services. However, the metaverse and its associated applications present various challenges to existing networks. First, ...
Humans Machine Learning Computer Communication Networks Algorithms Telemedicine
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Specificity-Aware Federated Learning With Dynamic Feature Fusion Network for Imbalanced Medical Image Classification.

IEEE journal of biomedical and health informatics Nov 6, 2024
Recently, federated learning has become a powerful technique for medical image classification due to its ability to utilize datasets from multiple clinical clients while satisfying privacy constraints. However, there are still some obstacles in feder...
Image Interpretation, Computer-Assisted Machine Learning Algorithms Image Processing, Computer-Assisted Humans Databases, Factual Diagnostic Imaging
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SFWN: A Novel Semi-Supervised Feature Weighted Neural Network for Gene Data Feature Learning and Mining With Graph Modeling.

IEEE journal of biomedical and health informatics Nov 6, 2024
Gene expression data can serve for analyzing the genes with changed expressions, the correlation between genes and the influence of different circumstance on gene activities. However, labeling a large number of gene expression data is laborious and t...
Databases, Genetic Neural Networks, Computer Gene Expression Profiling Humans Supervised Machine Learning Algorithms Computational Biology Data Mining
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