AIMC Topic: Semantics
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Semantic abnormalities in schizophrenia and bipolar disorder: A natural language processing approach.
Science progress
Jan 1, 2025
INTRODUCTION: The diagnostic boundaries between schizophrenia and bipolar disorder are controversial due to the ambiguity of psychiatric nosology. From this perspective, it is noteworthy that formal thought disorder has historically been considered p...
JTIS: enhancing biomedical document-level relation extraction through joint training with intermediate steps.
Database : the journal of biological databases and curation
Dec 19, 2024
Biomedical Relation Extraction (RE) is central to Biomedical Natural Language Processing and is crucial for various downstream applications. Existing RE challenges in the field of biology have primarily focused on intra-sentential analysis. However, ...
BioGSF: a graph-driven semantic feature integration framework for biomedical relation extraction.
Briefings in bioinformatics
Nov 22, 2024
The automatic and accurate extraction of diverse biomedical relations from literature constitutes the core elements of medical knowledge graphs, which are indispensable for healthcare artificial intelligence. Currently, fine-tuning through stacking v...
Enhancing Arden-Syntax-Based Clinical Reasoning with Ontologies.
Studies in health technology and informatics
Nov 22, 2024
We present a new methodological approach based on integrating Arden-Syntax-based clinical decision support (CDS) with an upstream ontology service. Incoming linguistic patient data, such as single reports about detected germs or viruses, shall be ide...
FHIR-Based Arden Syntax Compiler for Clinical Decision Support.
Studies in health technology and informatics
Nov 22, 2024
The Arden Syntax is a language designed for the encoding of medical knowledge into clinical decision support systems. Its evolution is overseen by Health Level 7. A significant enhancement in its new version 3.0 is the incorporation of FHIR for data ...
Application of deep learning for semantic segmentation in robotic prostatectomy: Comparison of convolutional neural networks and visual transformers.
Investigative and clinical urology
Nov 1, 2024
PURPOSE: Semantic segmentation is a fundamental part of the surgical application of deep learning. Traditionally, segmentation in vision tasks has been performed using convolutional neural networks (CNNs), but the transformer architecture has recentl...
CACER: Clinical concept Annotations for Cancer Events and Relations.
Journal of the American Medical Informatics Association : JAMIA
Nov 1, 2024
OBJECTIVE: Clinical notes contain unstructured representations of patient histories, including the relationships between medical problems and prescription drugs. To investigate the relationship between cancer drugs and their associated symptom burden...
Building a Natural Language Interface for FHIR Clinical Terminology Server.
Studies in health technology and informatics
Sep 24, 2024
While Fast Healthcare Interoperability Resources (FHIR) clinical terminology server enables quick and easy search and retrieval of coded medical data, it still has some drawbacks. When searching, any typographical errors, variations in word forms, or...
Triangulating evidence in health sciences with Annotated Semantic Queries.
Bioinformatics (Oxford, England)
Sep 2, 2024
MOTIVATION: Integrating information from data sources representing different study designs has the potential to strengthen evidence in population health research. However, this concept of evidence "triangulation" presents a number of challenges for s...
BioLORD-2023: semantic textual representations fusing large language models and clinical knowledge graph insights.
Journal of the American Medical Informatics Association : JAMIA
Sep 1, 2024
OBJECTIVE: In this study, we investigate the potential of large language models (LLMs) to complement biomedical knowledge graphs in the training of semantic models for the biomedical and clinical domains.
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