AIMC Topic: Natural Language Processing

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An NLP-based method to mine gene and function relationships from published articles.

Scientific reports Mar 3, 2025
Understanding the intricacies of genes function within biological systems is paramount for scientific advancement and medical progress. Owing to the evolving landscape of this research and the complexity of biological processes, however, this task pr...
Data Mining Computational Biology Gene Ontology Natural Language Processing Arabidopsis
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AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women.

Experimental biology and medicine (Maywood, N.J.) Feb 28, 2025
Topic modeling is a crucial technique in natural language processing (NLP), enabling the extraction of latent themes from large text corpora. Traditional topic modeling, such as Latent Dirichlet Allocation (LDA), faces limitations in capturing the se...
Natural Language Processing Machine Learning Humans Analgesics, Opioid Artificial Intelligence Female Data Mining Cardiovascular Diseases
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Integrating language into medical visual recognition and reasoning: A survey.

Medical image analysis Feb 27, 2025
Vision-Language Models (VLMs) are regarded as efficient paradigms that build a bridge between visual perception and textual interpretation. For medical visual tasks, they can benefit from expert observation and physician knowledge extracted from text...
Humans Language Natural Language Processing Image Interpretation, Computer-Assisted
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Using Machine Learning to Improve Readmission Risk in Surgical Patients in South Africa.

International journal of environmental research and public health Feb 26, 2025
Unplanned readmission within 30 days is a major challenge both globally and in South Africa. The aim of this study was to develop a machine learning model to predict unplanned surgical and trauma readmission to a public hospital in South Africa from ...
South Africa Humans Patient Readmission Aged Surgical Procedures, Operative Middle Aged Machine Learning Adult Natural Language Processing Retrospective Studies Male Female
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Enhancing biomedical named entity recognition with parallel boundary detection and category classification.

BMC bioinformatics Feb 25, 2025
BACKGROUND: Named entity recognition is a fundamental task in natural language processing. Recognizing entities in biomedical text, known as the BioNER, is particularly crucial for cutting-edge applications. However, BioNER poses greater challenges c...
Humans Algorithms Data Mining Databases, Factual Natural Language Processing
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Real-World Insights Into Dementia Diagnosis Trajectory and Clinical Practice Patterns Unveiled by Natural Language Processing: Development and Usability Study.

JMIR aging Feb 25, 2025
BACKGROUND: Understanding the dementia disease trajectory and clinical practice patterns in outpatient settings is vital for effective management. Knowledge about the path from initial memory loss complaints to dementia diagnosis remains limited.
Practice Patterns, Physicians' Dementia Natural Language Processing Electronic Health Records Female Aged Humans Aged, 80 and over Retrospective Studies Male Middle Aged
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Chinese medical named entity recognition utilizing entity association and gate context awareness.

PloS one Feb 25, 2025
Recognizing medical named entities is a crucial aspect of applying deep learning in the medical domain. Automated methods for identifying specific entities from medical literature or other texts can enhance the efficiency and accuracy of information ...
Natural Language Processing Humans Semantics Neural Networks, Computer Deep Learning Algorithms China
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Natural Language Processing Methods for the Study of Protein-Ligand Interactions.

Journal of chemical information and modeling Feb 24, 2025
Natural Language Processing (NLP) has revolutionized the way computers are used to study and interact with human languages and is increasingly influential in the study of protein and ligand binding, which is critical for drug discovery and developmen...
Humans Ligands Protein Binding Machine Learning Proteins Drug Discovery Natural Language Processing
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Natural language processing of electronic medical records identifies cardioprotective agents for anthracycline induced cardiotoxicity.

Scientific reports Feb 24, 2025
In this retrospective observational study, we aimed to investigate the potential of natural language processing (NLP) for drug repositioning by analyzing the preventive effects of cardioprotective drugs against anthracycline-induced cardiotoxicity (A...
Calcium Channel Blockers Hydroxymethylglutaryl-CoA Reductase Inhibitors Angiotensin Receptor Antagonists Drug Repositioning Natural Language Processing Anthracyclines Adrenergic beta-Antagonists Angiotensin-Converting Enzyme Inhibitors Cardiotonic Agents Cardiotoxicity Electronic Health Records Female Aged Adult Male Middle Aged Humans Retrospective Studies
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Identifying Patient-Reported Care Experiences in Free-Text Survey Comments: Topic Modeling Study.

JMIR medical informatics Feb 24, 2025
BACKGROUND: Patient-reported experience surveys allow administrators, clinicians, and researchers to quantify and improve health care by receiving feedback directly from patients. Existing research has focused primarily on quantitative analysis of su...
Child Natural Language Processing Patient Reported Outcome Measures Middle Aged Surveys and Questionnaires Humans Machine Learning Female Patient Satisfaction Adult Male
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