AIMC Topic: Natural Language Processing
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Understanding veterinary practitioners' responses to adverse events using a combined grounded theory and netnographic natural language processing approach.
PloS one
Dec 5, 2024
Support that mitigates the detrimental impact of adverse events on human healthcare practitioners is underpinned by an understanding of their experiences. This study used a mixed methods approach to understand veterinary practitioners' responses to a...
CPRS: a clinical protocol recommendation system based on LLMs.
International journal of medical informatics
Dec 4, 2024
BACKGROUND: As fundamental documents in clinical trials, clinical trial protocols are intended to ensure that trials are conducted according to the objectives set by researchers. The advent of large models with superior semantic performance compared ...
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...
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...
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...
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 ...
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 ...
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...
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...
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...
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