AIMC Topic: Knowledge Bases

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Leveraging Knowledge Graphs and Natural Language Processing for Automated Web Resource Labeling and Knowledge Mobilization in Neurodevelopmental Disorders: Development and Usability Study.

Journal of medical Internet research Apr 17, 2023
BACKGROUND: Patients and families need to be provided with trusted information more than ever with the abundance of online information. Several organizations aim to build databases that can be searched based on the needs of target groups. One such gr...
Humans Artificial Intelligence Algorithms Natural Language Processing Knowledge Bases Pattern Recognition, Automated Neurodevelopmental Disorders
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SimpleMind: An open-source software environment that adds thinking to deep neural networks.

PloS one Apr 13, 2023
Deep neural networks (DNNs) detect patterns in data and have shown versatility and strong performance in many computer vision applications. However, DNNs alone are susceptible to obvious mistakes that violate simple, common sense concepts and are lim...
Humans Neural Networks, Computer Software Reproducibility of Results Knowledge Bases
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Symbolic knowledge extraction for explainable nutritional recommenders.

Computer methods and programs in biomedicine Apr 5, 2023
This paper focuses on nutritional recommendation systems (RS), i.e. AI-powered automatic systems providing users with suggestions about what to eat to pursue their weight/body shape goals. A trade-off among (potentially) conflictual requirements must...
Neural Networks, Computer Artificial Intelligence Machine Learning Algorithms Knowledge Bases
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GOGCN: Graph Convolutional Network on Gene Ontology for Functional Similarity Analysis of Genes.

IEEE/ACM transactions on computational biology and bioinformatics Apr 3, 2023
The measurement of gene functional similarity plays a critical role in numerous biological applications, such as gene clustering, the construction of gene similarity networks. However, most existing approaches still rely heavily on traditional comput...
Reproducibility of Results Gene Regulatory Networks Cluster Analysis Knowledge Bases Gene Ontology
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B-LBConA: a medical entity disambiguation model based on Bio-LinkBERT and context-aware mechanism.

BMC bioinformatics Mar 16, 2023
BACKGROUND: The main task of medical entity disambiguation is to link mentions, such as diseases, drugs, or complications, to standard entities in the target knowledge base. To our knowledge, models based on Bidirectional Encoder Representations from...
Knowledge Bases Data Mining
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MSEDDI: Multi-Scale Embedding for Predicting Drug-Drug Interaction Events.

International journal of molecular sciences Feb 24, 2023
A norm in modern medicine is to prescribe polypharmacy to treat disease. The core concern with the co-administration of drugs is that it may produce adverse drug-drug interaction (DDI), which can cause unexpected bodily injury. Therefore, it is essen...
Humans Drug Interactions Knowledge Bases Polypharmacy
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A prefix and attention map discrimination fusion guided attention for biomedical named entity recognition.

BMC bioinformatics Feb 8, 2023
BACKGROUND: The biomedical literature is growing rapidly, and it is increasingly important to extract meaningful information from the vast amount of literature. Biomedical named entity recognition (BioNER) is one of the key and fundamental tasks in b...
Knowledge Bases Data Mining Semantics
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AI for life: Trends in artificial intelligence for biotechnology.

New biotechnology Feb 6, 2023
Due to popular successes (e.g., ChatGPT) Artificial Intelligence (AI) is on everyone's lips today. When advances in biotechnology are combined with advances in AI unprecedented new potential solutions become available. This can help with many global ...
Artificial Intelligence Ecosystem Knowledge Bases Data Mining Biotechnology
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Interpretability of Clinical Decision Support Systems Based on Artificial Intelligence from Technological and Medical Perspective: A Systematic Review.

Journal of healthcare engineering Feb 3, 2023
BACKGROUND: Artificial intelligence (AI) has developed rapidly, and its application extends to clinical decision support system (CDSS) for improving healthcare quality. However, the interpretability of AI-driven CDSS poses significant challenges to w...
Humans Artificial Intelligence Algorithms Delivery of Health Care Decision Support Systems, Clinical Knowledge Bases
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Knowledge Guided Attention and Graph Convolutional Networks for Chemical-Disease Relation Extraction.

IEEE/ACM transactions on computational biology and bioinformatics Feb 3, 2023
The automatic extraction of the chemical-disease relation (CDR) from the text becomes critical because it takes a lot of time and effort to extract valuable CDR manually. Studies have shown that prior knowledge from the biomedical knowledge base is i...
Language Knowledge Bases
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