AIMC Topic: Natural Language Processing
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Differential Analysis of Age, Gender, Race, Sentiment, and Emotion in Substance Use Discourse on Twitter During the COVID-19 Pandemic: A Natural Language Processing Approach.
JMIR infodemiology
Jul 28, 2025
BACKGROUND: User demographics are often hidden in social media data due to privacy concerns. However, demographic information on substance use (SU) can provide valuable insights, allowing public health policy makers to focus on specific cohorts and d...
SpeLL: An Agent for Natural Language-Driven Intelligent Spectral Modeling.
Journal of chemical information and modeling
Jul 25, 2025
Spectrum large language model (SpeLL) was developed to tackle core challenges in near-infrared (NIR) spectral data modeling─the high level of expertise and substantial workload required by researchers for method selection, implementation, and optimiz...
Improving Large Language Models' Summarization Accuracy by Adding Highlights to Discharge Notes: Comparative Evaluation.
JMIR medical informatics
Jul 24, 2025
BACKGROUND: The American Medical Association recommends that electronic health record (EHR) notes, often dense and written in nuanced language, be made readable for patients and laypeople, a practice we refer to as the simplification of discharge not...
A natural language processing approach to support biomedical data harmonization: Leveraging large language models.
PloS one
Jul 24, 2025
BACKGROUND: Biomedical research requires large, diverse samples to produce unbiased results. Retrospective data harmonization is often used to integrate existing datasets to create these samples, but the process is labor-intensive. Automated methods ...
Multilingual identification of nuanced dimensions of hope speech in social media texts.
Scientific reports
Jul 23, 2025
Hope plays a crucial role in human psychology and well-being, yet its expression and detection across languages remain underexplored in natural language processing (NLP). This study presents MIND-HOPE, the first-ever multiclass hope speech detection ...
Natural Language Processing framework for identifying abdominal aortic aneurysm repairs using unstructured electronic health records.
Scientific reports
Jul 21, 2025
Patient identification for national registries often relies upon clinician recognition of cases or retrospective searches using potentially inaccurate clinical codes, leading to incomplete data capture and inefficiencies. Natural Language Processing ...
Multicriteria Optimization of Language Models for Heart Failure With Preserved Ejection Fraction Symptom Detection in Spanish Electronic Health Records: Comparative Modeling Study.
Journal of medical Internet research
Jul 17, 2025
BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) is a major clinical manifestation of cardiac amyloidosis, a condition frequently underdiagnosed due to its nonspecific symptomatology. Electronic health records (EHRs) offer a promisi...
Advancing psychological assessment: quantifying self-compassion through free-text responses and language model BERT.
Scientific reports
Jul 16, 2025
Self-compassion, which refers to compassion directed toward oneself, is associated with mental health and well-being. Traditionally, self-compassion has been measured and quantified using rating scales such as the Self-Compassion Scale (SCS) and Comp...
A method for English paragraph grammar correction based on differential fusion of syntactic features.
PloS one
Jul 16, 2025
The new progress of deep learning and natural language processing technology has strongly promoted the development of English grammar error correction. However, the existing methods mostly rely on large-scale corpus, and often ignore the fine syntact...
Performance of Natural Language Processing versus International Classification of Diseases Codes in Building Registries for Patients With Fall Injury: Retrospective Analysis.
JMIR medical informatics
Jul 14, 2025
BACKGROUND: Standardized registries, such as the International Classification of Diseases (ICD) codes, are commonly built using administrative codes assigned to patient encounters. However, patients with fall injury are often coded using subsequent i...
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