AIMC Topic: Semantics

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Integration of large-scale community-developed causal loop diagrams: a Natural Language Processing approach to merging factors based on semantic similarity.

BMC public health Mar 8, 2025
BACKGROUND: Complex public health problems have been addressed in communities through systems thinking and participatory methods like Group Model Building (GMB) and Causal Loop Diagrams (CLDs) albeit with some challenges. This study aimed to explore ...
Semantics Victoria Causality Natural Language Processing Humans Child
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Contextual information contributes to biomedical named entity normalization.

Journal of biomedical informatics Mar 6, 2025
OBJECTIVE: As one of the most crucial upstream tasks in biomedical informatics, biomedical named entity normalization (BNEN) aims to map mentioned named entities to uniform standard identifiers or terms. Most existing methods only consider the simila...
Data Mining Medical Informatics Databases, Factual Natural Language Processing Semantics Humans Algorithms
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Comparative Study of Deep Transfer Learning Models for Semantic Segmentation of Human Mesenchymal Stem Cell Micrographs.

International journal of molecular sciences Mar 6, 2025
The aim of this study is to conduct a comparative assessment of the effectiveness of neural network models-U-Net, DeepLabV3+, SegNet and Mask R-CNN-for the semantic segmentation of micrographs of human mesenchymal stem cells (MSCs). A dataset of 320 ...
Neural Networks, Computer Deep Learning Humans Semantics Image Processing, Computer-Assisted Mesenchymal Stem Cells
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Learning Consistent Semantic Representation for Chest X-ray via Anatomical Localization in Self-Supervised Pre-Training.

IEEE journal of biomedical and health informatics Mar 6, 2025
Despite the similar global structures in Chest X-ray (CXR) images, the same anatomy exhibits varying appearances across images, including differences in local textures, shapes, colors, etc. Learning consistent representations for anatomical semantics...
Algorithms Radiographic Image Interpretation, Computer-Assisted Supervised Machine Learning Humans Thorax Semantics Radiography, Thoracic
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DRGCL: Drug Repositioning via Semantic-Enriched Graph Contrastive Learning.

IEEE journal of biomedical and health informatics Mar 6, 2025
Drug repositioning greatly reduces drug development costs and time by discovering new indications for existing drugs. With the development of technology and large-scale biological databases, computational drug repositioning has increasingly attracted...
Drug Repositioning Neural Networks, Computer Semantics Machine Learning Databases, Factual Algorithms Computational Biology Humans
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Semantic-Enhanced Graph Contrastive Learning With Adaptive Denoising for Drug Repositioning.

IEEE journal of biomedical and health informatics Mar 6, 2025
The traditional drug development process requires a significant investment in workforce and financial resources. Drug repositioning as an efficient alternative has attracted much attention during the last few years. Despite the wide application and s...
Humans Machine Learning Deep Learning Drug Repositioning Semantics Algorithms Databases, Factual
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Enhancing diagnosis prediction with adaptive disease representation learning.

Artificial intelligence in medicine Mar 4, 2025
Diagnosis prediction predicts which diseases a patient is most likely to suffer from in the future based on their historical electronic health records. The time series model can better capture the temporal progression relationship of patient diseases...
Machine Learning Algorithms Diagnosis, Computer-Assisted Semantics Humans Electronic Health Records
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DER-GCN: Dialog and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialog Emotion Recognition.

IEEE transactions on neural networks and learning systems Feb 28, 2025
With the continuous development of deep learning (DL), the task of multimodal dialog emotion recognition (MDER) has recently received extensive research attention, which is also an essential branch of DL. The MDER aims to identify the emotional infor...
Semantics Pattern Recognition, Automated Humans Convolutional Neural Networks Algorithms Neural Networks, Computer Emotions Deep Learning
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Author name disambiguation based on heterogeneous graph neural network.

PloS one Feb 26, 2025
With the dramatic increase in the number of published papers and the continuous progress of deep learning technology, the research on name disambiguation is at a historic peak, the number of paper authors is increasing every year, and the situation o...
Deep Learning Authorship Semantics Cluster Analysis Humans Graph Neural Networks Algorithms Neural Networks, Computer
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Chinese medical named entity recognition utilizing entity association and gate context awareness.

PloS one Feb 25, 2025
Recognizing medical named entities is a crucial aspect of applying deep learning in the medical domain. Automated methods for identifying specific entities from medical literature or other texts can enhance the efficiency and accuracy of information ...
Algorithms Semantics Humans Deep Learning Neural Networks, Computer China Natural Language Processing
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