AIMC Topic: Natural Language Processing

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LCDL: Classification of ICD codes based on disease label co-occurrence dependency and LongFormer with medical knowledge.

Artificial intelligence in medicine Dec 7, 2024
Medical coding involves assigning codes to clinical free-text documents, specifically medical records that average over 3,000 markers, in order to track patient diagnoses and treatments. This is typically accomplished through manual assignments by he...
International Classification of Diseases Clinical Coding Humans Electronic Health Records Natural Language Processing
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Self-supervised pre-trained neural network for quantum natural language processing.

Neural networks : the official journal of the International Neural Network Society Dec 6, 2024
Quantum computing models have propelled advances in many application domains. However, in the field of natural language processing (NLP), quantum computing models are limited in representation capacity due to the high linearity of the underlying quan...
Neural Networks, Computer Natural Language Processing Humans Quantum Theory
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-specific Responsiveness.

Journal of visualized experiments : JoVE Dec 6, 2024
Large language models (LLMs) have emerged as a popular resource for generating information relevant to a user query. Such models are created through a resource-intensive training process utilizing an extensive, static corpus of textual data. This sta...
Language Natural Language Processing Humans
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Contextualized race and ethnicity annotations for clinical text from MIMIC-III.

Scientific data Dec 5, 2024
Observational health research often relies on accurate and complete race and ethnicity (RE) patient information, such as characterizing cohorts, assessing quality/performance metrics of hospitals and health systems, and identifying health disparities...
Ethnicity Racial Groups Electronic Health Records Humans Natural Language Processing
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Machine Learning-Based Suicide Risk Prediction Model for Suicidal Trajectory on Social Media Following Suicidal Mentions: Independent Algorithm Validation.

Journal of medical Internet research Dec 5, 2024
BACKGROUND: Previous efforts to apply machine learning-based natural language processing to longitudinally collected social media data have shown promise in predicting suicide risk.
Surveys and Questionnaires Suicidal Ideation Male Risk Assessment Social Media Natural Language Processing Suicide Cohort Studies COVID-19 Algorithms Young Adult Adult Female Humans Machine Learning
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Integrating structured and unstructured data for predicting emergency severity: an association and predictive study using transformer-based natural language processing models.

BMC medical informatics and decision making Dec 5, 2024
BACKGROUND: Efficient triage in emergency departments (EDs) is critical for timely and appropriate care. Traditional triage systems primarily rely on structured data, but the increasing availability of unstructured data, such as clinical notes, prese...
Humans Emergency Service, Hospital Male Middle Aged Triage Aged Natural Language Processing Adult Severity of Illness Index Machine Learning Female
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CALLM: Enhancing Clinical Interview Analysis Through Data Augmentation With Large Language Models.

IEEE journal of biomedical and health informatics Dec 5, 2024
The global prevalence of mental health disorders is increasing, leading to a significant economic burden estimated in trillions of dollars. In automated mental health diagnosis, the scarcity and imbalance of clinical data pose considerable challenges...
Machine Learning Algorithms Humans Stress Disorders, Post-Traumatic Natural Language Processing Large Language Models Mental Disorders Electronic Health Records
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Care home resident identification: A comparison of address matching methods with Natural Language Processing.

PloS one Dec 5, 2024
BACKGROUND: Care home residents are a highly vulnerable group, but identifying care home residents in routine data is challenging. This study aimed to develop and validate Natural Language Processing (NLP) methods to identify care home residents from...
Male Aged Humans Primary Health Care Aged, 80 and over Natural Language Processing Female Nursing Homes Scotland
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An automated approach to identify sarcasm in low-resource language.

PloS one Dec 5, 2024
Sarcasm detection has emerged due to its applicability in natural language processing (NLP) but lacks substantial exploration in low-resource languages like Urdu, Arabic, Pashto, and Roman-Urdu. While fewer studies identifying sarcasm have focused on...
Algorithms Decision Trees Humans Support Vector Machine Natural Language Processing Language Machine Learning Emotions
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Nonnegative matrix factorization with Wasserstein metric-based regularization for enhanced text embedding.

PloS one Dec 5, 2024
Text embedding plays a crucial role in natural language processing (NLP). Among various approaches, nonnegative matrix factorization (NMF) is an effective method for this purpose. However, the standard NMF approach, fundamentally based on the bag-of-...
Semantics Algorithms Natural Language Processing Humans
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