AIMC Topic: Knowledge Bases

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TaughtNet: Learning Multi-Task Biomedical Named Entity Recognition From Single-Task Teachers.

IEEE journal of biomedical and health informatics May 4, 2023
In Biomedical Named Entity Recognition (BioNER), the use of current cutting-edge deep learning-based methods, such as deep bidirectional transformers (e.g. BERT, GPT-3), can be substantially hampered by the absence of publicly accessible annotated da...
Humans Deep Learning Knowledge Bases
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Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 29, 2023
Previous work on clinical relation extraction from free-text sentences leveraged information about semantic types from clinical knowledge bases as a part of entity representations. In this paper, we exploit additional evidence by also making use of ....
Humans Reproducibility of Results Natural Language Processing Sample Size Knowledge Bases Datasets as Topic Semantics Unified Medical Language System
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GPT-4: a new era of artificial intelligence in medicine.

Irish journal of medical science Apr 19, 2023
GPT-4 is the latest version of ChatGPT which is reported by OpenAI to have greater problem-solving abilities and an even broader knowledge base. We examined GPT-4's ability to inform us about the latest literature in a given area, and to write a disc...
Humans Artificial Intelligence Medicine Writing Patient Discharge 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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