AIMC Topic: Data Mining

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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...
Artificial Intelligence Learning Female Humans Deep Learning Data Mining Male Students
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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...
Middle Aged Quality of Life Surveys and Questionnaires Adult Male Humans Female Algorithms Sex Factors Artificial Intelligence Aged ROC Curve Rare Diseases Data Mining Fabry Disease
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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 ...
Models, Theoretical Supervised Machine Learning Humans Deep Learning 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.
Humans Tomography, X-Ray Computed Stroke Data Mining
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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...
Male Decision Trees Data Mining Coronary Disease Bayes Theorem Algorithms Female Humans Machine Learning
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Use of deep learning-based NLP models for full-text data elements extraction for systematic literature review tasks.

Scientific reports Jun 3, 2025
Systematic literature review (SLR) is an important tool for Health Economics and Outcomes Research (HEOR) evidence synthesis. SLRs involve the identification and selection of pertinent publications and extraction of relevant data elements from full-t...
Systematic Reviews as Topic Data Mining Humans Algorithms Deep Learning Natural Language Processing
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Prediction of drug-target interactions based on substructure subsequences and cross-public attention mechanism.

PloS one May 30, 2025
Drug-target interactions (DTIs) play a critical role in drug discovery and repurposing. Deep learning-based methods for predicting drug-target interactions are more efficient than wet-lab experiments. The extraction of original and substructural feat...
Humans Algorithms Data Mining Proteins Drug Repositioning Pharmaceutical Preparations Drug Discovery Deep Learning
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What are we learning with Yoga? Mapping the scientific literature on Yoga using a vector-text-mining approach.

PloS one May 29, 2025
The techniques used in yoga have roots in traditions that precede modern science. Research shows that yoga enhances quality of life and well-being, positively impacting physical and mental health. As yoga gains acceptance in Western countries, scient...
Quality of Life Data Mining Yoga Humans Learning
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An improved Red-billed blue magpie feature selection algorithm for medical data processing.

PloS one May 22, 2025
Feature selection is a crucial preprocessing step in the fields of machine learning, data mining and pattern recognition. In medical data analysis, the large number and complexity of features are often accompanied by redundant or irrelevant features,...
Data Mining Humans Pattern Recognition, Automated Machine Learning Algorithms
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ADEPT: An advanced data exploration and processing tool for clinical data insights.

Computer methods and programs in biomedicine May 17, 2025
BACKGROUND AND OBJECTIVE: The rapid growth of clinical data creates challenges in analysis and interpretation for medical professionals. To address these issues, we developed the Advanced Data Exploration and Processing Tool (ADEPT), integrating data...
Support Vector Machine Cluster Analysis Algorithms Logistic Models Area Under Curve Machine Learning Humans Data Mining Software
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