AIMC Topic: Data Mining

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Public concerns about human metapneumovirus: insights from Google search trends, X social networks, and web news mining to enhance public health communication.

BMC public health Aug 5, 2025
The respiratory virus known as human metapneumovirus (hMPV) is linked to seasonal outbreaks and primarily affects elderly people and young children. Infodemiology, which uses digital data sources, including social media, online news, and search trend...
Disease Outbreaks Health Communication Social Media Humans Public Health Search Engine Metapneumovirus Paramyxoviridae Infections Internet Data Mining Public Opinion
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Decoding student cognitive abilities: a comparative study of explainable AI algorithms in educational data mining.

Scientific reports Jul 24, 2025
Exploring students' cognitive abilities has long been an important topic in education. This study employs data-driven artificial intelligence (AI) models supported by explainability algorithms and PSM causal inference to investigate the factors influ...
Male Students Cognition Data Mining Artificial Intelligence Algorithms Female Humans
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A systematic review via text mining approaches of human and veterinary applications of photobiomodulation: focus on multiwave locked system laser therapy.

Lasers in medical science Jul 18, 2025
To evaluate scientific literature regarding the application of Photobiomodulation (PBM), with a special focus on Multiwave Locked System (MLS) laser therapy, an innovative machine learning method was used. PBM therapy has occurred as a non-invasive t...
Humans Low-Level Light Therapy Animals Wound Healing Data Mining Pain Management
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TGEL-transformer: Fusing educational theories with deep learning for interpretable student performance prediction.

PloS one Jun 30, 2025
With the integration of educational technology and artificial intelligence, personalized learning has become increasingly important. However, traditional educational data mining methods struggle to effectively integrate heterogeneous feature data and...
Data Mining Students Learning Humans Deep Learning Artificial Intelligence Female Male
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Improving a data mining based diagnostic support tool for rare diseases on the example of M. Fabry: Gender differences need to be taken into account.

PloS one Jun 30, 2025
BACKGROUND: Rare diseases often present with a variety of clinical symptoms and therefore are challenging to diagnose. Fabry disease is an x-linked rare metabolic disorder. The severity of symptoms is usually different in men and women. Since therape...
Algorithms Female Aged Adult Male Middle Aged Humans Artificial Intelligence Fabry Disease Data Mining Quality of Life Sex Factors Surveys and Questionnaires Rare Diseases ROC Curve
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Developing a predictive model for anticipating technology convergence: A transformer-based model and supervised learning approach.

PloS one Jun 26, 2025
This study proposes a novel approach to anticipating technology convergence in the bio-healthcare sector by integrating text mining based on transformer models and supervised learning methodologies. The overarching goal is to develop a robust method ...
Deep Learning Models, Theoretical Supervised Machine Learning Humans Data Mining
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Data extraction from free-text stroke CT reports using GPT-4o and Llama-3.3-70B: the impact of annotation guidelines.

European radiology experimental Jun 19, 2025
BACKGROUND: To evaluate the impact of an annotation guideline on the performance of large language models (LLMs) in extracting data from stroke computed tomography (CT) reports.
Stroke Humans Data Mining Tomography, X-Ray Computed
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Predicting Coronary Heart Disease Using Data Mining and Machine Learning Solutions.

Anais da Academia Brasileira de Ciencias Jun 16, 2025
This research focuses on predicting cardiovascular disease using machine learning classification strategies. The study presents a unique approach by integrating multiple machine learning techniques, leveraging the strengths of Random Forest and Gradi...
Machine Learning Data Mining Algorithms Coronary Disease Male Humans Female Decision Trees Bayes Theorem
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Identification of neurological text markers associated with risk of stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jun 11, 2025
BACKGROUND: Delayed or missed stroke diagnosis is associated with poor outcomes. We utilized natural language processing of notes from non-neurological emergency department (ED) encounters to identify text phrases indicating stroke presentations that...
Reproducibility of Results Risk Factors Aged Retrospective Studies Electronic Health Records Female Risk Assessment Time Factors Predictive Value of Tests Aged, 80 and over Male Middle Aged Humans Prognosis Stroke Data Mining Academic Medical Centers Natural Language Processing Emergency Service, Hospital
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Detecting the clinical features of difficult-to-treat depression using synthetic data from large language models.

Computers in biology and medicine Jun 10, 2025
Difficult-to-treat depression (DTD) has been proposed as a broader and more clinically comprehensive perspective on a person's depressive disorder where, despite treatment, they continue to experience significant burden. We sought to develop a tool c...
Depressive Disorder, Treatment-Resistant Humans Natural Language Processing Algorithms Data Mining Electronic Health Records Large Language Models
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