AIMC Topic: Semantics

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Boosting Social Determinants of Health Extraction with Semantic Knowledge Augmented Large Language Model.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Social determinants of health (SDoH) significantly impacts health outcomes and contributes to perpetuating health disparities across healthcare applications. However, automatic extraction of SDoH information from Electronic Health Records (EHRs) is c...
Electronic Health Records Natural Language Processing Humans Social Determinants of Health Unified Medical Language System Large Language Models Data Mining Semantics
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Multiple semantic X-ray medical image retrieval using efficient feature vector extracted by FPN.

Journal of X-ray science and technology Jan 1, 2024
OBJECTIVE: Content-based medical image retrieval (CBMIR) has become an important part of computer-aided diagnostics (CAD) systems. The complex medical semantic information inherent in medical images is the most difficult part to improve the accuracy ...
Semantics X-Rays Radiography Information Storage and Retrieval Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted
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DDA-SSNets: Dual decoder attention-based semantic segmentation networks for COVID-19 infection segmentation and classification using chest X-Ray images.

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: COVID-19 needs to be diagnosed and staged to be treated accurately. However, prior studies' diagnostic and staging abilities for COVID-19 infection needed to be improved. Therefore, new deep learning-based approaches are required to aid r...
Pandemics COVID-19 Humans Neural Networks, Computer Pneumonia, Viral Lung Algorithms Deep Learning SARS-CoV-2 Radiography, Thoracic Coronavirus Infections Betacoronavirus Semantics
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Modeling Brain Representations of Words' Concreteness in Context Using GPT-2 and Human Ratings.

Cognitive science Dec 1, 2023
The meaning of most words in language depends on their context. Understanding how the human brain extracts contextualized meaning, and identifying where in the brain this takes place, remain important scientific challenges. But technological and comp...
Brain Mapping Brain Semantics Humans Language Artificial Intelligence
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Two complementary AI approaches for predicting UMLS semantic group assignment: heuristic reasoning and deep learning.

Journal of the American Medical Informatics Association : JAMIA Nov 17, 2023
OBJECTIVE: Use heuristic, deep learning (DL), and hybrid AI methods to predict semantic group (SG) assignments for new UMLS Metathesaurus atoms, with target accuracy ≥95%.
Semantics Unified Medical Language System Deep Learning Heuristics Neural Networks, Computer
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The case for expressing nursing theories using ontologies.

Journal of the American Medical Informatics Association : JAMIA Oct 19, 2023
Nursing and informatics share a common strength in their use of structured representations of domains, specifically the underlying notion of 'things' (ie, concepts, constructs, or named entities) and the relationships among those things. Accurate rep...
Humans Artificial Intelligence Semantics Informatics Nursing Theory
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HTCL-DDI: a hierarchical triple-view contrastive learning framework for drug-drug interaction prediction.

Briefings in bioinformatics Sep 22, 2023
Drug-drug interaction (DDI) prediction can discover potential risks of drug combinations in advance by detecting drug pairs that are likely to interact with each other, sparking an increasing demand for computational methods of DDI prediction. Howeve...
Drug Interactions Semantics Deep Learning
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Few-shot biomedical named entity recognition via knowledge-guided instance generation and prompt contrastive learning.

Bioinformatics (Oxford, England) Aug 1, 2023
MOTIVATION: Few-shot learning that can effectively perform named entity recognition in low-resource scenarios has raised growing attention, but it has not been widely studied yet in the biomedical field. In contrast to high-resource domains, biomedic...
Deep Learning Humans Benchmarking Software Semantics
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DKADE: a novel framework based on deep learning and knowledge graph for identifying adverse drug events and related medications.

Briefings in bioinformatics Jul 20, 2023
Adverse drug events (ADEs) are common in clinical practice and can cause significant harm to patients and increase resource use. Natural language processing (NLP) has been applied to automate ADE detection, but NLP systems become less adaptable when ...
Semantics Humans Pattern Recognition, Automated Natural Language Processing Deep Learning Drug-Related Side Effects and Adverse Reactions
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Phen2Disease: a phenotype-driven model for disease and gene prioritization by bidirectional maximum matching semantic similarities.

Briefings in bioinformatics Jul 20, 2023
Human Phenotype Ontology (HPO)-based approaches have gained popularity in recent times as a tool for genomic diagnostics of rare diseases. However, these approaches do not make full use of the available information on disease and patient phenotypes. ...
Biological Ontologies Rare Diseases Humans Genomics Phenotype Semantics
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