AIMC Topic: Data Mining

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Exploring sensory alterations and repetitive behaviors in children with autism spectrum disorder from the perspective of artificial neural networks.

Research in developmental disabilities Nov 21, 2024
BACKGROUND: Restrictive repetitive behaviors (RRBs) and sensory processing disorders are core symptoms of autism spectrum disorder (ASD). Their relationship is reported, but existing data are conflicting as to whether they are related but distinct, o...
Sensation Disorders Stereotyped Behavior Data Mining Sleep Wake Disorders Child, Preschool Child Humans Female Neural Networks, Computer Male Autism Spectrum Disorder Surveys and Questionnaires
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Advancing pharmacogenomics research: automated extraction of insights from PubMed using SpaCy NLP framework.

Pharmacogenomics Nov 20, 2024
This paper presents a methodology for automatically extracting insights from PubMed articles using a Natural Language Processing (NLP) framework. Our approach, leveraging advanced NLP techniques and Named Entity Recognition (NER), is crucial for adva...
Data Mining Natural Language Processing Humans PubMed Pharmacogenetics
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Machine learning approaches for the discovery of clinical pathways from patient data: A systematic review.

Journal of biomedical informatics Nov 12, 2024
BACKGROUND: Clinical pathways are sequences of events followed during the clinical care of a group of patients who meet pre-defined criteria. They have many applications ranging from healthcare evaluation and optimization to clinical decision support...
Machine Learning Decision Support Systems, Clinical Humans Data Mining Critical Pathways
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MultiADE: A Multi-domain benchmark for Adverse Drug Event extraction.

Journal of biomedical informatics Nov 12, 2024
OBJECTIVE: Active adverse event surveillance monitors Adverse Drug Events (ADE) from different data sources, such as electronic health records, medical literature, social media and search engine logs. Over the years, many datasets have been created, ...
Adverse Drug Reaction Reporting Systems Drug-Related Side Effects and Adverse Reactions Data Mining Databases, Factual Humans Machine Learning Electronic Health Records Social Media Algorithms Natural Language Processing Benchmarking
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Public opinion mining in social media about Ethiopian broadcasts using deep learning.

Scientific reports Nov 12, 2024
Now adays people express and share their opinions on various events on the internet thanks to social media. Opinion mining is the process of interpreting user-generated opinion data on social media. Aside from its lack of resources in opinion-mining ...
Deep Learning Ethiopia Data Mining Public Opinion Social Media Humans
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Protein-Protein Interaction Networks Derived from Classical and Machine Learning-Based Natural Language Processing Tools.

Journal of proteome research Nov 11, 2024
The study of protein-protein interactions (PPIs) provides insight into various biological mechanisms, including the binding of antibodies to antigens, enzymes to inhibitors or promoters, and receptors to ligands. Recent studies of PPIs have led to si...
COVID-19 SARS-CoV-2 Protein Interaction Maps Humans Machine Learning Data Mining Protein Interaction Mapping Databases, Protein Natural Language Processing
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KnowVID-19: A Knowledge-Based System to Extract Targeted COVID-19 Information from Online Medical Repositories.

Biomolecules Nov 6, 2024
We present KnowVID-19, a knowledge-based system that assists medical researchers and scientists in extracting targeted information quickly and efficiently from online medical literature repositories, such as PubMed, PubMed Central, and other biomedic...
Knowledge Bases Humans Data Mining Software Machine Learning SARS-CoV-2 COVID-19 PubMed
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Medical Information Extraction With NLP-Powered QABots: A Real-World Scenario.

IEEE journal of biomedical and health informatics Nov 6, 2024
The advent of computerized medical recording systems in healthcare facilities has made data retrieval tasks easier, compared to manual recording. Nevertheless, the potential of the information contained within medical records remains largely untapped...
Natural Language Processing Data Mining Databases, Factual Electronic Health Records Humans
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SFWN: A Novel Semi-Supervised Feature Weighted Neural Network for Gene Data Feature Learning and Mining With Graph Modeling.

IEEE journal of biomedical and health informatics Nov 6, 2024
Gene expression data can serve for analyzing the genes with changed expressions, the correlation between genes and the influence of different circumstance on gene activities. However, labeling a large number of gene expression data is laborious and t...
Humans Neural Networks, Computer Algorithms Databases, Genetic Supervised Machine Learning Data Mining Gene Expression Profiling Computational Biology
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Semantic-guided attention and adaptive gating for document-level relation extraction.

Scientific reports Nov 4, 2024
In natural language processing, document-level relation extraction is a complex task that aims to predict the relationships among entities by capturing contextual interactions from an unstructured document. Existing graph- and transformer-based model...
Humans Attention Natural Language Processing Semantics Algorithms Data Mining Models, Theoretical
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