AIMC Topic: Knowledge Bases

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A knowledge graph-based data harmonization framework for secondary data reuse.

Computer methods and programs in biomedicine Nov 10, 2023
BACKGROUND AND OBJECTIVE: The adoption of new technologies in clinical care systems has propitiated the availability of a great amount of valuable data. However, this data is usually heterogeneous, requiring its harmonization to be integrated and ana...
Pattern Recognition, Automated Delivery of Health Care Knowledge Bases Machine Learning Data Management Semantics
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The smarty4covid dataset and knowledge base as a framework for interpretable physiological audio data analysis.

Scientific data Nov 6, 2023
Harnessing the power of Artificial Intelligence (AI) and m-health towards detecting new bio-markers indicative of the onset and progress of respiratory abnormalities/conditions has greatly attracted the scientific and research interest especially dur...
Artificial Intelligence Data Analysis Humans Cough Knowledge Bases Pandemics COVID-19
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ChatGPT: a tool for scientific writing or a threat to integrity?

The British journal of radiology Oct 24, 2023
The use of ChatGPT as a tool for writing and knowledge integration raises concerns about the potential for its use to replace critical thinking and academic writing skills. While ChatGPT can assist in generating text and suggesting appropriate langua...
Humans Writing Information Storage and Retrieval Knowledge Bases
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Common knowledge processing patterns in networks of different systems.

PloS one Oct 5, 2023
Knowledge processing has patterns which can be found in biological neuron activity and artificial neural networks. The work explores whether an underlying structure exists for knowledge which crosses domains. The results show common data processing p...
Knowledge Bases Expert Systems Neural Networks, Computer Animals Humans
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Infrastructure tools to support an effective Radiation Oncology Learning Health System.

Journal of applied clinical medical physics Aug 25, 2023
PURPOSE: Radiation Oncology Learning Health System (RO-LHS) is a promising approach to improve the quality of care by integrating clinical, dosimetry, treatment delivery, research data in real-time. This paper describes a novel set of tools to suppor...
Biological Ontologies Child Learning Health System Radiation Oncology Knowledge Bases Humans
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Associating biological context with protein-protein interactions through text mining at PubMed scale.

Journal of biomedical informatics Aug 10, 2023
Inferring knowledge from known relationships between drugs, proteins, genes, and diseases has great potential for clinical impact, such as predicting which existing drugs could be repurposed to treat rare diseases. Incorporating key biological contex...
PubMed Knowledge Bases Humans Data Mining Rare Diseases
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Semantically enabling clinical decision support recommendations.

Journal of biomedical semantics Jul 18, 2023
BACKGROUND: Clinical decision support systems have been widely deployed to guide healthcare decisions on patient diagnosis, treatment choices, and patient management through evidence-based recommendations. These recommendations are typically derived ...
Biological Ontologies Knowledge Bases Humans Software Decision Support Systems, Clinical Publications
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Creating an ignorance-base: Exploring known unknowns in the scientific literature.

Journal of biomedical informatics Jun 1, 2023
BACKGROUND: Scientific discovery progresses by exploring new and uncharted territory. More specifically, it advances by a process of transforming unknown unknowns first into known unknowns, and then into knowns. Over the last few decades, researchers...
Female Knowledge Bases Humans Infant, Newborn Premature Birth Natural Language Processing Knowledge Vitamin D Publications
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A novel gluten knowledge base of potential biomedical and health-related interactions extracted from the literature: Using machine learning and graph analysis methodologies to reconstruct the bibliome.

Journal of biomedical informatics May 23, 2023
BACKGROUND: In return for their nutritional properties and broad availability, cereal crops have been associated with different alimentary disorders and symptoms, with the majority of the responsibility being attributed to gluten. Therefore, the rese...
Natural Language Processing Knowledge Bases Algorithms Glutens Humans Machine Learning
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KEBLM: Knowledge-Enhanced Biomedical Language Models.

Journal of biomedical informatics May 19, 2023
Pretrained language models (PLMs) have demonstrated strong performance on many natural language processing (NLP) tasks. Despite their great success, these PLMs are typically pretrained only on unstructured free texts without leveraging existing struc...
Software Language Knowledge Bases Natural Language Processing Humans
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