AIMC Topic: Data Mining

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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...
Magnetic Resonance Imaging Confidentiality Data Mining Federated Learning Privacy Humans
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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...
Female Italy Humans Data Mining Electronic Health Records Breast Neoplasms Neoplasm Metastasis Natural Language Processing
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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).
Data Mining Patient Discharge Summaries Male Middle Aged Natural Language Processing Autoimmune Diseases Cohort Studies Female Phenotype Adult Humans Electronic Health Records Algorithms
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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...
Data Mining Humans Algorithms Neural Networks, Computer Learning
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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 ...
Large Language Models Workflow Data Mining Humans Deep Learning Language Natural Language Processing
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Using Large Language Models to Automate Data Extraction From Surgical Pathology Reports: Retrospective Cohort Study.

JMIR formative research Apr 7, 2025
BACKGROUND: Popularized by ChatGPT, large language models (LLMs) are poised to transform the scalability of clinical natural language processing (NLP) downstream tasks such as medical question answering (MQA) and automated data extraction from clinic...
Humans Retrospective Studies Thyroid Neoplasms Information Storage and Retrieval Large Language Models Pathology, Surgical Natural Language Processing Data Mining
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ESM-Ezy: a deep learning strategy for the mining of novel multicopper oxidases with superior properties.

Nature communications Apr 6, 2025
The UniProt database is a valuable resource for biocatalyst discovery, yet predicting enzymatic functions remains challenging, especially for low-similarity sequences. Identifying superior enzymes with enhanced catalytic properties is even harder. To...
Hydrogen-Ion Concentration Oxidoreductases Data Mining Biocatalysis Deep Learning Databases, Protein
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101 Machine Learning Algorithms for Mining Esophageal Squamous Cell Carcinoma Neoantigen Prognostic Models in Single-Cell Data.

International journal of molecular sciences Apr 4, 2025
Esophageal squamous cell carcinoma (ESCC) is one of the most aggressive malignant tumors in the digestive tract, characterized by a high recurrence rate and inadequate immunotherapy options. We analyzed mutation data of ESCC from public databases and...
Data Mining Esophageal Squamous Cell Carcinoma Mutation Humans Esophageal Neoplasms Machine Learning Tumor Microenvironment Single-Cell Analysis Algorithms Antigens, Neoplasm Prognosis
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TransformDDI: The Transformer-Based Joint Multi-Task Model for End-to-End Drug-Drug Interaction Extraction.

IEEE journal of biomedical and health informatics Apr 4, 2025
Drug-Drug Interactions (DDI) identification is a part of the drug safety process, that focuses at avoiding potential adverse drug effects that can lead to patient health risks. With the exponential growth in published literature, it becomes increasin...
Data Mining Humans Algorithms Natural Language Processing Drug Interactions Machine Learning Drug-Related Side Effects and Adverse Reactions
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Aceso-DSAL: Discovering Clinical Evidences From Medical Literature Based on Distant Supervision and Active Learning.

IEEE journal of biomedical and health informatics Apr 4, 2025
Automatic extraction of valuable, structured evidence from the exponentially growing clinical trial literature can help physicians practice evidence-based medicine quickly and accurately. However, current research on evidence extraction has been limi...
Humans Algorithms Supervised Machine Learning Data Mining Evidence-Based Medicine Databases, Factual Natural Language Processing
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