AIMC Topic: Data Mining

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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 Deep Learning Natural Language Processing Algorithms
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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 Drug Discovery Drug Repositioning Pharmaceutical Preparations Data Mining Deep Learning Proteins
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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...
Data Mining Yoga Learning Quality of Life Humans
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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 Pattern Recognition, Automated Humans Machine Learning Algorithms
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Supervised Information Mining From Weakly Paired Images for Breast IHC Virtual Staining.

IEEE transactions on medical imaging May 6, 2025
Immunohistochemistry (IHC) examination is essential to determine the tumour subtypes, provide key prognostic factors, and develop personalized treatment plans for breast cancer. However, compared to Hematoxylin and Eosin (H&E) staining, the preparati...
Immunohistochemistry Humans Breast Neoplasms Data Mining Supervised Machine Learning Female Image Interpretation, Computer-Assisted Breast
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Machine learning-based text mining for cutaneous myiasis and potential value of an accidental maggot therapy for complicated skin and soft tissue infection with sepsis.

Frontiers in cellular and infection microbiology May 6, 2025
BACKGROUND: Cutaneous myiasis, one of the most frequently diagnosed myiasis types, is defined as skin or soft tissue on a living host infested by dipterous larvae (maggots). However, bibliometric analysis of this disease remains sparse. Machine learn...
Male Middle Aged Larva Skin Sepsis Machine Learning Female Myiasis Debridement Animals Humans Data Mining Soft Tissue Infections Maggot Debridement Therapy Diptera
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NeuroXiv: AI-powered open databasing and dynamic mining of brain-wide neuron morphometry.

Nature methods Apr 29, 2025
Neuron morphology has been extensively reconstructed at the whole-brain scale by various projects in recent years. Here, to facilitate interactive exploration in a standardized and scalable manner, we introduce NeuroXiv (neuroxiv.org), a large-scale ...
Animals Neurons Software Data Mining Humans Databases, Factual Artificial Intelligence Brain
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Machine learning models for minimizing aggravation in work-related musculoskeletal disorders among slaughterhouse workers.

Work (Reading, Mass.) Apr 28, 2025
BackgroundWork-related musculoskeletal disorders (WMSDs) are common in Brazilian slaughterhouses. The repetitive and strenuous nature of meat processing, especially in slaughterhouses, makes employees highly susceptible to developing WMSDs. Prolonged...
Adult Male Middle Aged Female Risk Factors Humans Machine Learning Musculoskeletal Diseases Abattoirs Occupational Diseases Brazil Data Mining
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Enhancing medical text classification with GAN-based data augmentation and multi-task learning in BERT.

Scientific reports Apr 22, 2025
With the rapid advancement of medical informatics, the accumulation of electronic medical records and clinical diagnostic data provides unprecedented opportunities for intelligent medical text classification. However, challenges such as class imbalan...
ROC Curve Machine Learning Algorithms Decision Support Systems, Clinical Humans Medical Informatics Data Mining Electronic Health Records Neural Networks, Computer
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A sustainable system for predicting appliance energy consumption based on machine learning.

Journal of environmental management Apr 18, 2025
Nowadays, energy conservation is a top priority for sustainable societies, which focus on environmental and economic sustainability to address fossil fuel scarcity, climate change, and increasing environmental pollution. Therefore, planning for energ...
Sustainable Development Machine Learning Principal Component Analysis Data Mining
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