AIMC Topic: Data Mining

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Integrating data mining with transcranial focused ultrasound to refine neuralgia treatment strategies.

Journal of neuroscience methods Mar 23, 2025
BACKGROUND: Neuralgia and other neuropathic pain are difficult to treat owing to their complicated etiology and a wide variety of responses to treatment. The novel neuromodulation technology transcranial focused ultrasound (tFUS) has intriguing impli...
Aged Humans Adult Machine Learning Male Middle Aged Neuralgia Precision Medicine Data Mining Female Ultrasonic Therapy
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Integrating machine learning and a large language model to construct a domain knowledge graph for reducing the risk of fall-from-height accidents.

Accident; analysis and prevention Mar 20, 2025
Fall-from-height (FFH) accidents remain a major source of workplace injuries and fatalities. Fall protection systems (FPS) are critical for preventing falls in the work-at-height (WAH) environment. However, challenges in designing and selecting effec...
Data Mining Large Language Models Protective Devices Accidents, Occupational Accidental Falls Humans Machine Learning
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Presenting a prediction model for HELLP syndrome through data mining.

BMC medical informatics and decision making Mar 17, 2025
BACKGROUND: The HELLP syndrome represents three complications: hemolysis, elevated liver enzymes, and low platelet count. Since the causes and pathogenesis of HELLP syndrome are not yet fully known and well understood, distinguishing it from other pr...
Humans Machine Learning Pregnancy Female Adult Data Mining Cross-Sectional Studies HELLP Syndrome Iran
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Using Generative AI to Extract Structured Information from Free Text Pathology Reports.

Journal of medical systems Mar 13, 2025
Manually converting unstructured text pathology reports into structured pathology reports is very time-consuming and prone to errors. This study demonstrates the transformative potential of generative AI in automating the analysis of free-text pathol...
Artificial Intelligence Female Reproducibility of Results Breast Neoplasms Humans Natural Language Processing Data Mining
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Retinal vein occlusion risk prediction without fundus examination using a no-code machine learning tool for tabular data: a nationwide cross-sectional study from South Korea.

BMC medical informatics and decision making Mar 7, 2025
BACKGROUND: Retinal vein occlusion (RVO) is a leading cause of vision loss globally. Routine health check-up data-including demographic information, medical history, and laboratory test results-are commonly utilized in clinical settings for disease r...
Fundus Oculi Data Mining Retinal Vein Occlusion Risk Assessment Nutrition Surveys Aged Adult Cross-Sectional Studies Male Middle Aged Humans Neural Networks, Computer Machine Learning Republic of Korea Female
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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...
Databases, Factual Natural Language Processing Data Mining Humans Medical Informatics Algorithms Semantics
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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...
East Asian People Narration Natural Language Processing Humans Electronic Health Records Deep Learning Pharmaceutical Services Japan Data Mining
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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...
Delivery of Health Care Deep Learning Data Mining Artificial Intelligence Algorithms Humans Patents as Topic
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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 Gene Ontology Arabidopsis Computational Biology Natural Language Processing
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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...
Natural Language Processing Machine Learning Humans Analgesics, Opioid Data Mining Female Artificial Intelligence Cardiovascular Diseases
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