AIMC Topic: Data Mining

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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...
Female Breast Neoplasms Breast Humans Immunohistochemistry Data Mining Image Interpretation, Computer-Assisted Supervised Machine Learning
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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...
Humans Machine Learning Myiasis Soft Tissue Infections Maggot Debridement Therapy Larva Skin Diptera Debridement Data Mining Male Middle Aged Female Sepsis Animals
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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 ...
Humans Artificial Intelligence Animals Databases, Factual Neurons Brain Data Mining Software
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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...
Medical Informatics Humans Neural Networks, Computer Machine Learning ROC Curve Decision Support Systems, Clinical Algorithms Data Mining Electronic Health Records
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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...
Principal Component Analysis Data Mining Machine Learning Sustainable Development
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Privacy-preserving federated learning for collaborative medical data mining in multi-institutional settings.

Scientific reports Apr 11, 2025
Ensuring data privacy in medical image classification is a critical challenge in healthcare, especially with the increasing reliance on AI-driven diagnostics. In fact, over 30% of healthcare organizations globally have experienced a data breach in th...
Humans Magnetic Resonance Imaging Privacy Data Mining Confidentiality Federated Learning
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MISTIC: a novel approach for metastasis classification in Italian electronic health records using transformers.

BMC medical informatics and decision making Apr 10, 2025
BACKGROUND: Analysis of Electronic Health Records (EHRs) is crucial in real-world evidence (RWE), especially in oncology, as it provides valuable insights into the complex nature of the disease. The implementation of advanced techniques for automated...
Italy Electronic Health Records Data Mining Female Neoplasm Metastasis Natural Language Processing Breast Neoplasms Humans
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Improving Phenotyping of Patients With Immune-Mediated Inflammatory Diseases Through Automated Processing of Discharge Summaries: Multicenter Cohort Study.

JMIR medical informatics Apr 9, 2025
BACKGROUND: Valuable insights gathered by clinicians during their inquiries and documented in textual reports are often unavailable in the structured data recorded in electronic health records (EHRs).
Patient Discharge Summaries Middle Aged Cohort Studies Autoimmune Diseases Female Humans Natural Language Processing Data Mining Adult Phenotype Algorithms Male Electronic Health Records
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A knowledge tracing approach with dual graph convolutional networks and positive/negative feature enhancement network.

PloS one Apr 9, 2025
Knowledge tracing models predict students' mastery of specific knowledge points by analyzing their historical learning performance. However, existing methods struggle with handling a large number of skills, data sparsity, learning differences, and co...
Algorithms Learning Humans Data Mining Neural Networks, Computer
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Prompting large language models to extract chemical‒disease relation precisely and comprehensively at the document level: an evaluation study.

PloS one Apr 8, 2025
Given the scarcity of annotated data, current deep learning methods face challenges in the field of document-level chemical-disease relation extraction, making it difficult to achieve precise relation extraction capable of identifying relation types ...
Data Mining Humans Large Language Models Language Natural Language Processing Deep Learning Workflow
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