AIMC Topic:
Semantics

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A lightweight CNN-based knowledge graph embedding model with channel attention for link prediction.

Mathematical biosciences and engineering : MBE Mar 21, 2023
Knowledge graph (KG) embedding is to embed the entities and relations of a KG into a low-dimensional continuous vector space while preserving the intrinsic semantic associations between entities and relations. One of the most important applications o...
Neural Networks, Computer Semantics Pattern Recognition, Automated
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Enhanced disease-disease association with information enriched disease representation.

Mathematical biosciences and engineering : MBE Mar 9, 2023
OBJECTIVE: Quantification of disease-disease association (DDA) enables the understanding of disease relationships for discovering disease progression and finding comorbidity. For effective DDA strength calculation, there is a need to address the main...
Humans Neural Networks, Computer Disease Progression Semantics Gene Ontology
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Ontologies in the New Computational Age of Radiology: RadLex for Semantics and Interoperability in Imaging Workflows.

Radiographics : a review publication of the Radiological Society of North America, Inc Mar 1, 2023
From basic research to the bedside, precise terminology is key to advancing medicine and ensuring optimal and appropriate patient care. However, the wide spectrum of diseases and their manifestations superimposed on medical team-specific and discipli...
Humans Artificial Intelligence Diagnostic Imaging Radiology Workflow Semantics Biological Ontologies
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Dual-process system based on mixed semantic fusion for Chinese medical knowledge-based question answering.

Mathematical biosciences and engineering : MBE Jan 5, 2023
Chinese medical knowledge-based question answering (cMed-KBQA) is a vital component of the intelligence question-answering assignment. Its purpose is to enable the model to comprehend questions and then deduce the proper answer from the knowledge bas...
Knowledge Bases Information Storage and Retrieval Semantics Problem Solving
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CafeteriaSA corpus: scientific abstracts annotated across different food semantic resources.

Database : the journal of biological databases and curation Dec 16, 2022
In the last decades, a great amount of work has been done in predictive modeling of issues related to human and environmental health. Resolution of issues related to healthcare is made possible by the existence of several biomedical vocabularies and ...
Humans Databases, Factual Natural Language Processing Information Storage and Retrieval Semantics
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CTS2 OWL: Mapping OWL Ontologies to CTS2 Terminology Resources.

Studies in health technology and informatics Nov 3, 2022
The advancement of healthcare towards P5 medicine requires communication and cooperation between all actors and institutions involved. Interoperability must go beyond integrating data from different sources and include the understanding of the meanin...
Delivery of Health Care Language Semantics Biological Ontologies
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A survey of automated methods for biomedical text simplification.

Journal of the American Medical Informatics Association : JAMIA Oct 7, 2022
OBJECTIVE: Plain language in medicine has long been advocated as a way to improve patient understanding and engagement. As the field of Natural Language Processing has progressed, increasingly sophisticated methods have been explored for the automati...
Humans Language Natural Language Processing PubMed Semantics Unified Medical Language System
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Fusion network based on the dual attention mechanism and atrous spatial pyramid pooling for automatic segmentation in retinal vessel images.

Journal of the Optical Society of America. A, Optics, image science, and vision Aug 1, 2022
Accurate segmentation of retinal blood vessels from retinal images is crucial to aid in the detection and diagnosis of many eye diseases. In this paper, a fusion network based on the dual attention mechanism and atrous spatial pyramid pooling (DAANet...
Neural Networks, Computer Image Processing, Computer-Assisted Semantics Retinal Vessels
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Medical visual question answering via corresponding feature fusion combined with semantic attention.

Mathematical biosciences and engineering : MBE Jul 20, 2022
Medical visual question answering (Med-VQA) aims to leverage a pre-trained artificial intelligence model to answer clinical questions raised by doctors or patients regarding radiology images. However, owing to the high professional requirements in th...
Humans Artificial Intelligence Algorithms Attention Semantics
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A heterogeneous network-based method with attentive meta-path extraction for predicting drug-target interactions.

Briefings in bioinformatics Jul 18, 2022
Predicting drug-target interactions (DTIs) is crucial at many phases of drug discovery and repositioning. Many computational methods based on heterogeneous networks (HNs) have proved their potential to predict DTIs by capturing extensive biological k...
Neural Networks, Computer Drug Discovery Drug Interactions Semantics
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