AIMC Topic: Data Mining

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Contextual information contributes to biomedical named entity normalization.

Journal of biomedical informatics Mar 6, 2025
OBJECTIVE: As one of the most crucial upstream tasks in biomedical informatics, biomedical named entity normalization (BNEN) aims to map mentioned named entities to uniform standard identifiers or terms. Most existing methods only consider the simila...
Data Mining Medical Informatics Semantics Databases, Factual Natural Language Processing Humans Algorithms
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Performance Improvement of a Natural Language Processing Tool for Extracting Patient Narratives Related to Medical States From Japanese Pharmaceutical Care Records by Increasing the Amount of Training Data: Natural Language Processing Analysis and Validation Study.

JMIR medical informatics Mar 4, 2025
BACKGROUND: Patients' oral expressions serve as valuable sources of clinical information to improve pharmacotherapy. Natural language processing (NLP) is a useful approach for analyzing unstructured text data, such as patient narratives. However, few...
Deep Learning East Asian People Humans Electronic Health Records Japan Data Mining Pharmaceutical Services Narration Natural Language Processing
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Evolution of AI enabled healthcare systems using textual data with a pretrained BERT deep learning model.

Scientific reports Mar 4, 2025
In the rapidly evolving field of healthcare, Artificial Intelligence (AI) is increasingly driving the promotion of the transformation of traditional healthcare and improving medical diagnostic decisions. The overall goal is to uncover emerging trends...
Deep Learning Data Mining Algorithms Patents as Topic Delivery of Health Care Humans Artificial Intelligence
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An NLP-based method to mine gene and function relationships from published articles.

Scientific reports Mar 3, 2025
Understanding the intricacies of genes function within biological systems is paramount for scientific advancement and medical progress. Owing to the evolving landscape of this research and the complexity of biological processes, however, this task pr...
Data Mining Computational Biology Natural Language Processing Gene Ontology Arabidopsis
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AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women.

Experimental biology and medicine (Maywood, N.J.) Feb 28, 2025
Topic modeling is a crucial technique in natural language processing (NLP), enabling the extraction of latent themes from large text corpora. Traditional topic modeling, such as Latent Dirichlet Allocation (LDA), faces limitations in capturing the se...
Cardiovascular Diseases Humans Machine Learning Natural Language Processing Artificial Intelligence Female Analgesics, Opioid Data Mining
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Enhancing biomedical named entity recognition with parallel boundary detection and category classification.

BMC bioinformatics Feb 25, 2025
BACKGROUND: Named entity recognition is a fundamental task in natural language processing. Recognizing entities in biomedical text, known as the BioNER, is particularly crucial for cutting-edge applications. However, BioNER poses greater challenges c...
Algorithms Databases, Factual Data Mining Natural Language Processing Humans
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CECRel: A joint entity and relation extraction model for Chinese electronic medical records of coronary angiography via contrastive learning.

Journal of biomedical informatics Feb 24, 2025
Entity and relation extraction from Chinese electronic medical records (EMRs) is a crucial foundation for constructing medical knowledge graphs and supporting downstream tasks. Chinese EMRs face challenges in accurately extracting medical entity rela...
Data Mining East Asian People Coronary Angiography Algorithms Humans Electronic Health Records Machine Learning China
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Label as Equilibrium: A performance booster for Graph Neural Networks on node classification.

Neural networks : the official journal of the International Neural Network Society Feb 22, 2025
Graph Neural Network (GNN) is effective in graph mining and has become a dominant solution to the node classification task. Recently, a series of label reuse approaches emerged to boost the node classification performance of GNN. They repeatedly inpu...
Data Mining Graph Neural Networks Humans Neural Networks, Computer Algorithms
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Open-world semi-supervised relation extraction.

Neural networks : the official journal of the International Neural Network Society Feb 20, 2025
Semi-supervised Relation Extraction methods play an important role in extracting relationships from unstructured text, which can leverage both labeled and unlabeled data to improve extraction accuracy. However, these methods are grounded under the cl...
Humans Supervised Machine Learning Data Mining Neural Networks, Computer Semantics Natural Language Processing
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Characterizing patients at higher cardiovascular risk for prescribed stimulants: Learning from health records data with predictive analytics and data mining techniques.

Computers in biology and medicine Feb 20, 2025
OBJECTIVE: Given the significantly increased number of individuals prescribed stimulants in the past decade, there has been growing concern regarding the risk of cardiovascular events among adults on stimulant therapy. We aimed to quantify the added ...
Middle Aged Data Mining Central Nervous System Stimulants Attention Deficit Disorder with Hyperactivity Heart Disease Risk Factors Male Cardiovascular Diseases Young Adult Adult Humans Electronic Health Records Machine Learning Female Aged
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