AIMC Topic: 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...
Data Mining Algorithms Databases, Factual 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...
East Asian People Humans Data Mining Coronary Angiography Machine Learning Algorithms Electronic Health Records 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...
Graph Neural Networks Algorithms Data Mining Humans Neural Networks, Computer
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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 Semantics Supervised Machine Learning Data Mining Neural Networks, Computer 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 ...
Adult Male Aged Young Adult Data Mining Heart Disease Risk Factors Central Nervous System Stimulants Cardiovascular Diseases Middle Aged Humans Machine Learning Electronic Health Records Female Attention Deficit Disorder with Hyperactivity
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Improving unified information extraction in Chinese mental health domain with instruction-tuned LLMs and type-verification component.

Artificial intelligence in medicine Feb 19, 2025
BACKGROUND: Extracting psychological counseling help-seeker information from unstructured text is crucial for providing effective mental health support. This task involves identifying personal emotions, psychological states, and underlying psychologi...
Natural Language Processing Data Mining Counseling Mental Health China Humans
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Hyperbolic multivariate feature learning in higher-order heterogeneous networks for drug-disease prediction.

Artificial intelligence in medicine Feb 19, 2025
New drug discovery has always been a costly, time-consuming process with a high failure rate. Repurposing existing drugs offers a valuable alternative and reduces the risks associated with developing new drugs. Various experimental methods have been ...
Data Mining Multivariate Analysis Computational Biology Drug Repositioning Humans Algorithms Drug Discovery Machine Learning
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Ontology-guided machine learning outperforms zero-shot foundation models for cardiac ultrasound text reports.

Scientific reports Feb 14, 2025
Big data can revolutionize research and quality improvement for cardiac ultrasound. Text reports are a critical part of such analyses. Cardiac ultrasound reports include structured and free text and vary across institutions, hampering attempts to min...
Natural Language Processing Data Mining Machine Learning Echocardiography Humans
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Cost-Efficient Domain-Adaptive Pretraining of Language Models for Optoelectronics Applications.

Journal of chemical information and modeling Feb 11, 2025
Pretrained language models have demonstrated strong capability and versatility in natural language processing (NLP) tasks, and they have important applications in optoelectronics research, such as data mining and topic modeling. Many language models ...
Data Mining Cost-Benefit Analysis Natural Language Processing Electronics
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Partial Annotation Learning for Biomedical Entity Recognition.

IEEE journal of biomedical and health informatics Feb 10, 2025
Named Entity Recognition (NER) is a key task to support biomedical research. In Biomedical Named Entity Recognition (BioNER), obtaining high-quality expert annotated data is laborious and expensive, leading to the development of automatic approaches ...
Humans Machine Learning Natural Language Processing Data Mining Data Curation Databases, Factual Biomedical Research
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