AIMC Topic: Natural Language Processing

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Automated derivation of diagnostic criteria for lung cancer using natural language processing on electronic health records: a pilot study.

BMC medical informatics and decision making Dec 4, 2024
BACKGROUND: The digitisation of healthcare records has generated vast amounts of unstructured data, presenting opportunities for improvements in disease diagnosis when clinical coding falls short, such as in the recording of patient symptoms. This st...
Natural Language Processing Systematized Nomenclature of Medicine Humans Male Middle Aged Pilot Projects Lung Neoplasms Aged Adult Electronic Health Records Female
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Deanthropomorphising NLP: Can a language model be conscious?

PloS one Dec 4, 2024
This work is intended as a voice in the discussion over previous claims that a pretrained large language model (LLM) based on the Transformer model architecture can be sentient. Such claims have been made concerning the LaMDA model and also concernin...
Consciousness Models, Theoretical Natural Language Processing Humans Language
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Interpretable prediction of drug-drug interactions via text embedding in biomedical literature.

Computers in biology and medicine Dec 2, 2024
Polypharmacy is a promising approach for treating diseases, especially those with complex symptoms. However, it can lead to unexpected drug-drug interactions (DDIs), potentially reducing efficacy and triggering adverse drug reactions (ADRs). Predicti...
Neural Networks, Computer Deep Learning Humans Drug-Related Side Effects and Adverse Reactions Natural Language Processing Drug Interactions
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Enhancing suicidal behavior detection in EHRs: A multi-label NLP framework with transformer models and semantic retrieval-based annotation.

Journal of biomedical informatics Dec 2, 2024
BACKGROUND: Suicide is a leading cause of death worldwide, making early identification of suicidal behaviors crucial for clinicians. Current Natural Language Processing (NLP) approaches for identifying suicidal behaviors in Electronic Health Records ...
Semantics Humans Natural Language Processing Suicidal Ideation Data Mining Electronic Health Records Suicide
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Using deep learning and word embeddings for predicting human agreeableness behavior.

Scientific reports Dec 2, 2024
The latest advancements of deep learning have resulted in a new era of natural language processing. The machines now possess an unparallel ability to interpret and engage with various tasks such as text classification, content generation and natural ...
Humans Natural Language Processing Personality Algorithms Social Media Deep Learning
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PhraseAug: An Augmented Medical Report Generation Model With Phrasebook.

IEEE transactions on medical imaging Dec 2, 2024
Medical report generation is a valuable and challenging task, which automatically generates accurate and fluent diagnostic reports for medical images, reducing workload of radiologists and improving efficiency of disease diagnosis. Fine-grained align...
Humans Semantics Algorithms Electronic Health Records Radiology Information Systems Natural Language Processing
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Needle in a haystack: Harnessing AI in drug patent searches and prediction.

PloS one Dec 2, 2024
The classification codes granted by patent offices are useful instruments for simplifying the bewildering variety of patents in existence. They are singularly unhelpful, however, in locating a specific subgroup of patents such as that of drug-related...
Pharmaceutical Preparations Humans Patents as Topic Artificial Intelligence Databases, Factual Algorithms Natural Language Processing
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Dual-modality visual feature flow for medical report generation.

Medical image analysis Dec 1, 2024
Medical report generation, a cross-modal task of generating medical text information, aiming to provide professional descriptions of medical images in clinical language. Despite some methods have made progress, there are still some limitations, inclu...
Machine Learning Humans Natural Language Processing Algorithms
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Natural Language Processing Application in Nursing Research: A Study Using Text Network Analysis and Topic Modeling.

Computers, informatics, nursing : CIN Dec 1, 2024
Although the potential of natural language processing and an increase in its application in nursing research is evident, there is a lack of understanding of the research trends. This study conducts text network analysis and topic modeling to uncover ...
Natural Language Processing Nursing Research Humans Machine Learning Algorithms
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A multimodal approach for few-shot biomedical named entity recognition in low-resource languages.

Journal of biomedical informatics Nov 30, 2024
In this study, we revisit named entity recognition (NER) in the biomedical domain from a multimodal perspective, with a particular focus on applications in low-resource languages. Existing research primarily relies on unimodal methods for NER, which ...
Databases, Factual Medical Informatics Language Natural Language Processing Humans Data Mining Algorithms
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