AIMC Topic: Data Mining

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BiomedRAG: A retrieval augmented large language model for biomedicine.

Journal of biomedical informatics Jan 13, 2025
Retrieval-augmented generation (RAG) involves a solution by retrieving knowledge from an established database to enhance the performance of large language models (LLM). , these models retrieve information at the sentence or paragraph level, potential...
Medical Informatics Large Language Models Humans Data Mining Algorithms Information Storage and Retrieval Databases, Factual Natural Language Processing
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Hierarchical graph-based integration network for propaganda detection in textual news articles on social media.

Scientific reports Jan 13, 2025
During the Covid-19 pandemic, the widespread use of social media platforms has facilitated the dissemination of information, fake news, and propaganda, serving as a vital source of self-reported symptoms related to Covid-19. Existing graph-based mode...
Neural Networks, Computer Pandemics Humans Social Media Natural Language Processing COVID-19 Data Mining SARS-CoV-2
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Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges.

Nature communications Jan 10, 2025
Integrating prior epidemiological knowledge embedded within mechanistic models with the data-mining capabilities of artificial intelligence (AI) offers transformative potential for epidemiological modeling. While the fusion of AI and traditional mech...
Data Mining Humans Artificial Intelligence Communicable Diseases Public Health Forecasting
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Hybrid natural language processing tool for semantic annotation of medical texts in Spanish.

BMC bioinformatics Jan 8, 2025
BACKGROUND: Natural language processing (NLP) enables the extraction of information embedded within unstructured texts, such as clinical case reports and trial eligibility criteria. By identifying relevant medical concepts, NLP facilitates the genera...
Deep Learning Natural Language Processing Semantics Spain Data Mining Electronic Health Records Language Humans
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Public Health Discussions on Social Media: Evaluating Automated Sentiment Analysis Methods.

JMIR formative research Jan 8, 2025
BACKGROUND: Sentiment analysis is one of the most widely used methods for mining and examining text. Social media researchers need guidance on choosing between manual and automated sentiment analysis methods.
ROC Curve Social Media Natural Language Processing Humans Public Health Data Mining
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DNA promoter task-oriented dictionary mining and prediction model based on natural language technology.

Scientific reports Jan 2, 2025
Promoters are essential DNA sequences that initiate transcription and regulate gene expression. Precisely identifying promoter sites is crucial for deciphering gene expression patterns and the roles of gene regulatory networks. Recent advancements in...
Neural Networks, Computer Deep Learning Computational Biology Humans DNA Sequence Analysis, DNA Data Mining Natural Language Processing Promoter Regions, Genetic
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Employing a low-code machine learning approach to predict in-hospital mortality and length of stay in patients with community-acquired pneumonia.

Scientific reports Jan 2, 2025
Community-acquired pneumonia (CAP) is associated with high mortality rates and often results in prolonged hospital stays. The potential of machine learning to enhance prediction accuracy in this context is significant, yet clinicians often lack the p...
Middle Aged Length of Stay Hospital Mortality Aged, 80 and over Male Humans Area Under Curve Machine Learning Data Mining Female Retrospective Studies Community-Acquired Infections Aged ROC Curve Pneumonia
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Identifying technologies in circular economy paradigm through text mining on scientific literature.

PloS one Dec 27, 2024
Technological innovation serves as the catalyst for the shift towards circular practices. Technologies not only address technical challenges, facilitating the transition to a more circular economy, but they also enhance business efficiency and profit...
Data Mining Humans Natural Language Processing Technology Publications
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MFC-ACL: Multi-view fusion clustering with attentive contrastive learning.

Neural networks : the official journal of the International Neural Network Society Dec 20, 2024
Multi-view clustering can better handle high-dimensional data by combining information from multiple views, which is important in big data mining. However, the existing models which simply perform feature fusion after feature extraction for individua...
Attention Cluster Analysis Data Mining Humans Machine Learning Neural Networks, Computer Algorithms
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An Automatic and End-to-End System for Rare Disease Knowledge Graph Construction Based on Ontology-Enhanced Large Language Models: Development Study.

JMIR medical informatics Dec 18, 2024
BACKGROUND: Rare diseases affect millions worldwide but sometimes face limited research focus individually due to low prevalence. Many rare diseases do not have specific International Classification of Diseases, Ninth Edition (ICD-9) and Tenth Editio...
Humans Natural Language Processing Rare Diseases Data Mining Biological Ontologies
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