AIMC Topic: Natural Language Processing

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Joint extraction of Chinese medical entities and relations based on RoBERTa and single-module global pointer.

BMC medical informatics and decision making Jul 31, 2024
BACKGROUND: Most Chinese joint entity and relation extraction tasks in medicine involve numerous nested entities, overlapping relations, and other challenging extraction issues. In response to these problems, some traditional methods decompose the jo...
Data Mining China Natural Language Processing
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The changing landscape of text mining: a review of approaches for ecology and evolution.

Proceedings. Biological sciences Jul 31, 2024
In ecology and evolutionary biology, the synthesis and modelling of data from published literature are commonly used to generate insights and test theories across systems. However, the tasks of searching, screening, and extracting data from literatur...
Biological Evolution Machine Learning Data Mining Natural Language Processing Ecology
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Artificial intelligence in the detection and treatment of depressive disorders: a narrative review of literature.

International review of psychiatry (Abingdon, England) Jul 30, 2024
Modern psychiatry aims to adopt precision models and promote personalized treatment within mental health care. However, the complexity of factors underpinning mental disorders and the variety of expressions of clinical conditions make this task arduo...
Depressive Disorder, Major Deep Learning Natural Language Processing Artificial Intelligence Machine Learning Humans
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Speech and language patterns in autism: Towards natural language processing as a research and clinical tool.

Psychiatry research Jul 30, 2024
Speech and language differences have long been described as important characteristics of autism spectrum disorder (ASD). Linguistic abnormalities range from prosodic differences in pitch, intensity, and rate of speech, to language idiosyncrasies and ...
Autism Spectrum Disorder Language Natural Language Processing Autistic Disorder Speech Humans
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Cross-lingual hate speech detection using domain-specific word embeddings.

PloS one Jul 30, 2024
THIS ARTICLE USES WORDS OR LANGUAGE THAT IS CONSIDERED PROFANE, VULGAR, OR OFFENSIVE BY SOME READERS. Hate speech detection in online social networks is a multidimensional problem, dependent on language and cultural factors. Most supervised learning ...
Multilingualism Speech Hate Natural Language Processing Humans Language
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Transformer models in biomedicine.

BMC medical informatics and decision making Jul 29, 2024
Deep neural networks (DNN) have fundamentally revolutionized the artificial intelligence (AI) field. The transformer model is a type of DNN that was originally used for the natural language processing tasks and has since gained more and more attentio...
Humans Neural Networks, Computer Artificial Intelligence Deep Learning Biomedical Research Natural Language Processing
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Natural language processing in at-risk mental states: enhancing the assessment of thought disorders and psychotic traits with semantic dynamics and graph theory.

Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) Jul 29, 2024
OBJECTIVE: Verbal communication contains key information for mental health assessment. Researchers have linked psychopathology phenomena to certain counterparts in natural language processing. We characterized subtle impairments in the early stages o...
Male Semantics Adolescent Humans Natural Language Processing Young Adult Brazil Female Case-Control Studies Psychotic Disorders Adult Psychiatric Status Rating Scales
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Textual emotion classification using MPNet and cascading broad learning.

Neural networks : the official journal of the International Neural Network Society Jul 27, 2024
As one of the most important tasks of natural language processing, textual emotion classification (TEC) aims to recognize and detect all emotions contained in texts. However, most existing methods are implemented using deep learning approaches, which...
Humans Neural Networks, Computer Natural Language Processing Deep Learning Semantics Emotions
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Using natural language processing to evaluate temporal patterns in suicide risk variation among high-risk Veterans.

Psychiatry research Jul 27, 2024
Measuring suicide risk fluctuation remains difficult, especially for high-suicide risk patients. Our study addressed this issue by leveraging Dynamic Topic Modeling, a natural language processing method that evaluates topic changes over time, to anal...
Humans Adult Male Middle Aged Electronic Health Records Female Suicide Natural Language Processing Risk Assessment Veterans United States Case-Control Studies United States Department of Veterans Affairs
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Diagnostic accuracy of large language models in psychiatry.

Asian journal of psychiatry Jul 25, 2024
INTRODUCTION: Medical decision-making is crucial for effective treatment, especially in psychiatry where diagnosis often relies on subjective patient reports and a lack of high-specificity symptoms. Artificial intelligence (AI), particularly Large La...
Diagnostic and Statistical Manual of Mental Disorders Adult Natural Language Processing Humans Psychiatry Artificial Intelligence Mental Disorders Clinical Decision-Making
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