AIMC Topic: Natural Language Processing

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Factors Associated with Abusive Head Trauma in Young Children Presenting to Emergency Medical Services Using a Large Language Model.

Prehospital emergency care Jan 17, 2025
OBJECTIVES: Abusive head trauma (AHT) is a leading cause of death in young children. Analyses of patient characteristics presenting to Emergency Medical Services (EMS) are often limited to structured data fields. Artificial Intelligence (AI) and Larg...
Craniocerebral Trauma Child Abuse Natural Language Processing Large Language Models Female Male Child, Preschool Emergency Medical Services Infant Humans Artificial Intelligence Retrospective Studies
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Natural Language Processing and Social Determinants of Health in Mental Health Research: AI-Assisted Scoping Review.

JMIR mental health Jan 16, 2025
BACKGROUND: The use of natural language processing (NLP) in mental health research is increasing, with a wide range of applications and datasets being investigated.
Social Determinants of Health Mental Health Humans Social Media Artificial Intelligence Natural Language Processing
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Automated analysis of spoken language differentiates multiple system atrophy from Parkinson's disease.

Journal of neurology Jan 15, 2025
BACKGROUND AND OBJECTIVES: Patients with synucleinopathies such as multiple system atrophy (MSA) and Parkinson's disease (PD) frequently display speech and language abnormalities. We explore the diagnostic potential of automated linguistic analysis o...
Humans Multiple System Atrophy Male Diagnosis, Differential Middle Aged Natural Language Processing Female Parkinson Disease Aged
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BiomedRAG: A retrieval augmented large language model for biomedicine.

Journal of biomedical informatics Jan 13, 2025
Retrieval-augmented generation (RAG) involves a solution by retrieving knowledge from an established database to enhance the performance of large language models (LLM). , these models retrieve information at the sentence or paragraph level, potential...
Humans Medical Informatics Databases, Factual Large Language Models Natural Language Processing Algorithms Data Mining Information Storage and Retrieval
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Natural language processing to identify suicidal ideation and anhedonia in major depressive disorder.

BMC medical informatics and decision making Jan 13, 2025
BACKGROUND: Anhedonia and suicidal ideation are symptoms of major depressive disorder (MDD) that are not regularly captured in structured scales but may be captured in unstructured clinical notes. Natural language processing (NLP) techniques may be u...
Female Reproducibility of Results Natural Language Processing Male Anhedonia Humans Depressive Disorder, Major Middle Aged Adult Electronic Health Records Suicidal Ideation
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Hierarchical graph-based integration network for propaganda detection in textual news articles on social media.

Scientific reports Jan 13, 2025
During the Covid-19 pandemic, the widespread use of social media platforms has facilitated the dissemination of information, fake news, and propaganda, serving as a vital source of self-reported symptoms related to Covid-19. Existing graph-based mode...
Natural Language Processing Data Mining Neural Networks, Computer Pandemics Humans SARS-CoV-2 COVID-19 Social Media
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Integrating CNN and Bi-LSTM for protein succinylation sites prediction based on Natural Language Processing technique.

Computers in biology and medicine Jan 10, 2025
Protein succinylation, a post-translational modification wherein a succinyl group (-CO-CH₂-CH₂-CO-) attaches to lysine residues, plays a critical regulatory role in cellular processes. Dysregulated succinylation has been implicated in the onset and p...
Humans Protein Processing, Post-Translational Proteins Databases, Protein Neural Networks, Computer Computational Biology Natural Language Processing Succinic Acid
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The role of chromatin state in intron retention: A case study in leveraging large scale deep learning models.

PLoS computational biology Jan 10, 2025
Complex deep learning models trained on very large datasets have become key enabling tools for current research in natural language processing and computer vision. By providing pre-trained models that can be fine-tuned for specific applications, they...
Computational Biology Humans Models, Genetic Deep Learning Introns Natural Language Processing Genomics Chromatin
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Enhancing semantical text understanding with fine-tuned large language models: A case study on Quora Question Pair duplicate identification.

PloS one Jan 10, 2025
Semantical text understanding holds significant importance in natural language processing (NLP). Numerous datasets, such as Quora Question Pairs (QQP), have been devised for this purpose. In our previous study, we developed a Siamese Convolutional Ne...
Language Natural Language Processing Semantics Humans Neural Networks, Computer
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The advantages of lexicon-based sentiment analysis in an age of machine learning.

PloS one Jan 10, 2025
Assessing whether texts are positive or negative-sentiment analysis-has wide-ranging applications across many disciplines. Automated approaches make it possible to code near unlimited quantities of texts rapidly, replicably, and with high accuracy. C...
Language Emotions Natural Language Processing Humans Machine Learning
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