AIMC Topic: Knowledge Bases

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EnzChemRED, a rich enzyme chemistry relation extraction dataset.

Scientific data Sep 9, 2024
Expert curation is essential to capture knowledge of enzyme functions from the scientific literature in FAIR open knowledgebases but cannot keep pace with the rate of new discoveries and new publications. In this work we present EnzChemRED, for Enzym...
Enzymes PubMed Knowledge Bases Databases, Protein Natural Language Processing
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Biomedical event causal relation extraction with deep knowledge fusion and Roberta-based data augmentation.

Methods (San Diego, Calif.) Sep 4, 2024
Biomedical event causal relation extraction (BECRE), as a subtask of biomedical information extraction, aims to extract event causal relation facts from unstructured biomedical texts and plays an essential role in many downstream tasks. The existing ...
Humans Knowledge Bases Data Mining Semantics Neural Networks, Computer Deep Learning
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Generative commonsense knowledge subgraph retrieval for open-domain dialogue response generation.

Neural networks : the official journal of the International Neural Network Society Aug 24, 2024
Grounding on a commonsense knowledge subgraph can help the model generate more informative and diverse dialogue responses. Prior Traverse-based works explicitly retrieve a subgraph from the external knowledge base (eKB). Notably, the available knowle...
Humans Knowledge Bases Information Storage and Retrieval Language Knowledge Neural Networks, Computer Natural Language Processing Algorithms
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The development of an EU-wide nutrition and physical activity expert knowledge base to support a personalised mobile application across various EU population groups.

Nutrition bulletin May 21, 2024
A healthy lifestyle comprising regular physical activity and an adequate diet is imperative for the prevention of non-communicable diseases such as hypertension and some cancers. Advances in information computer technology offer the opportunity to pr...
Mobile Applications Knowledge Bases Exercise Smartphone European Union Nutritional Requirements Telemedicine Nutritional Status Female Adult Middle Aged Diet Male Humans Precision Medicine
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An Expert-Knowledge-Based Graph Convolutional Network for Skeleton- Based Physical Rehabilitation Exercises Assessment.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 17, 2024
Physical therapists play a crucial role in guiding patients through effective and safe rehabilitation processes according to medical guidelines. However, due to the therapist-patient imbalance, it is neither economical nor feasible for therapists to ...
Rehabilitation Adult Expert Systems Male Movement Algorithms Knowledge Bases Humans Female Exercise Therapy Neural Networks, Computer
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Span-based few-shot event detection via aligning external knowledge.

Neural networks : the official journal of the International Neural Network Society Apr 18, 2024
Few-shot Event Detection (FSED) aims to identify novel event types in new domains with very limited annotated data. Previous PN-based (Prototypical Network) joint methods suffer from insufficient learning of token-wise label dependency and inaccurate...
Algorithms Knowledge Bases Neural Networks, Computer Machine Learning Humans
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An open source knowledge graph ecosystem for the life sciences.

Scientific data Apr 11, 2024
Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability of these data, but researchers face significant integration challenges. Knowle...
Pattern Recognition, Automated Biological Science Disciplines Translational Research, Biomedical Knowledge Bases Algorithms
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Bayesian-knowledge driven ontologies: A framework for fusion of semantic knowledge under uncertainty and incompleteness.

PloS one Mar 27, 2024
The modeling of uncertain information is an open problem in ontology research and is a theoretical obstacle to creating a truly semantic web. Currently, ontologies often do not model uncertainty, so stochastic subject matter must either be normalized...
Bayes Theorem Biological Ontologies Knowledge Bases Logic Semantics Uncertainty
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Enriching the FIDEO ontology with food-drug interactions from online knowledge sources.

Journal of biomedical semantics Mar 4, 2024
The increasing number of articles on adverse interactions that may occur when specific foods are consumed with certain drugs makes it difficult to keep up with the latest findings. Conflicting information is available in the scientific literature and...
Knowledge Bases Food-Drug Interactions
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dbCRAF: a curated knowledgebase for regulation of radiation response in human cancer.

NAR cancer Feb 24, 2024
Radiation therapy (RT) is one of the primary treatment modalities of cancer, with 40-60% of cancer patients benefiting from RT during their treatment course. The intrinsic radiosensitivity or acquired radioresistance of tumor cells would affect the r...
Gene Expression Regulation, Neoplastic Databases, Genetic Radiation Tolerance Knowledge Bases Neoplasms Computational Biology Humans Prognosis
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