AIMC Topic: Natural Language Processing

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Toward Cross-Hospital Deployment of Natural Language Processing Systems: Model Development and Validation of Fine-Tuned Large Language Models for Disease Name Recognition in Japanese.

JMIR medical informatics Jul 8, 2025
BACKGROUND: Disease name recognition is a fundamental task in clinical natural language processing, enabling the extraction of critical patient information from electronic health records. While recent advances in large language models (LLMs) have sho...
Humans East Asian People Natural Language Processing Electronic Health Records Language Large Language Models Japan Disease
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Development and Validation of a Rule-Based Natural Language Processing Algorithm to Identify Falls in Inpatient Records of Older Adults: Retrospective Analysis.

JMIR aging Jul 8, 2025
BACKGROUND: In order to address fall underestimation by the International Classification of Diseases (ICD) in clinical settings, information from clinical notes could be incorporated via natural language processing (NLP) as a possible solution. Howev...
Aged, 80 and over Male Hospitalization Aged Natural Language Processing Hong Kong International Classification of Diseases Accidental Falls Inpatients Algorithms Retrospective Studies Electronic Health Records Female Humans
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A semi supervised framework for human and machine collaboration in computer assisted text refinement.

Scientific reports Jul 7, 2025
Human writing often exhibits a range of styles and levels of sophistication. However, automated text generation systems typically lack the nuanced understanding required to produce refined and elegant prose. Due to the inherent one-to-many relationsh...
Semantics Humans Natural Language Processing
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Comparing traditional natural language processing and large language models for mental health status classification: a multi-model evaluation.

Scientific reports Jul 6, 2025
The substantial increase in mental health disorders globally necessitates scalable, accurate tools for detecting and classifying these conditions in digital environments. This study addresses the critical challenge of automated mental health classifi...
Mental Health Social Media Natural Language Processing Large Language Models Humans Mental Disorders
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Fine-tuning of language models for automated structuring of medical exam reports to improve patient screening and analysis.

Scientific reports Jul 4, 2025
The analysis of medical imaging reports is labour-intensive but crucial for accurate diagnosis and effective patient screening. Often presented as unstructured text, these reports require systematic organisation for efficient interpretation. This stu...
Humans Natural Language Processing
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Keyword-optimized template insertion for clinical note classification via prompt-based learning.

BMC medical informatics and decision making Jul 3, 2025
BACKGROUND: Prompt-based learning involves the additions of prompts (i.e., templates) to the input of pre-trained large language models (PLMs) to adapt them to specific tasks with minimal training. This technique is particularly advantageous in clini...
Electronic Health Records Natural Language Processing Humans Machine Learning
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Particle swarm optimization-based NLP methods for optimizing automatic document classification and retrieval.

PloS one Jul 2, 2025
Text classification plays an essential role in natural language processing and is commonly used in tasks like categorizing news, sentiment analysis, and retrieving relevant information. [0pc][-9pc]Please check and confirm the inserted city and countr...
Humans Machine Learning Particle Swarm Optimization Natural Language Processing Information Storage and Retrieval Algorithms Deep Learning
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Exploring the possibilities and limitations of customized large language model to support and improve cervical cancer screening.

BMC medical informatics and decision making Jul 1, 2025
BACKGROUND: The rapid advancement of artificial intelligence, driven by Generative Pre-trained Transformers (GPT), has transformed natural language processing. Prompt engineering plays a key role in guiding model outputs effectively. Our primary obje...
Patient Education as Topic Uterine Cervical Neoplasms Large Language Models Female Middle Aged Early Detection of Cancer Adult Natural Language Processing Humans Artificial Intelligence
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An explainable RoBERTa approach to analyzing panic and anxiety sentiment in oral health education YouTube comments.

Scientific reports Jul 1, 2025
Online videos are vital for health education and medical decision-making, but their comment sections often spread misinformation, causing anxiety and confusion. This study identifies stress-inducing comments in oral health education content, aiming t...
Humans Anxiety Panic Oral Health Health Education Social Media Natural Language Processing
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Sentiment classification for telugu using transformed based approaches on a multi-domain dataset.

Scientific reports Jul 1, 2025
Sentiment analysis is an essential component of Natural Language Processing (NLP) in resource-abundant languages such as English. Nevertheless, poor-resource languages such as Telugu have experienced limited efforts owing to multiple considerations, ...
Language Natural Language Processing Machine Learning Databases, Factual Humans
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