AIMC Topic: Natural Language Processing

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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 ...
Humans Natural Language Processing Nursing Research 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 ...
Natural Language Processing Humans Medical Informatics Databases, Factual Data Mining Algorithms Language
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Biomedical document-level relation extraction with thematic capture and localized entity pooling.

Journal of biomedical informatics Nov 30, 2024
In contrast to sentence-level relational extraction, document-level relation extraction poses greater challenges as a document typically contains multiple entities, and one entity may be associated with multiple other entities. Existing methods often...
Natural Language Processing Humans Data Mining Algorithms Databases, Factual
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Development and validation of an artificial intelligence system for surgical case length prediction.

Surgery Nov 29, 2024
BACKGROUND: Accurate case length estimation is a vital part of optimizing operating room use; however, significant inaccuracies exist with current solutions. The purpose of this study was to develop and validate an artificial intelligence system for ...
Natural Language Processing Elective Surgical Procedures Operating Rooms Machine Learning Operative Time Humans Neural Networks, Computer Artificial Intelligence
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Analyzing evaluation methods for large language models in the medical field: a scoping review.

BMC medical informatics and decision making Nov 29, 2024
BACKGROUND: Owing to the rapid growth in the popularity of Large Language Models (LLMs), various performance evaluation studies have been conducted to confirm their applicability in the medical field. However, there is still no clear framework for ev...
Evaluation Studies as Topic Humans Natural Language Processing
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Extracting International Classification of Diseases Codes from Clinical Documentation Using Large Language Models.

Applied clinical informatics Nov 28, 2024
BACKGROUND:  Large language models (LLMs) have shown promise in various professional fields, including medicine and law. However, their performance in highly specialized tasks, such as extracting ICD-10-CM codes from patient notes, remains underexplo...
Humans Large Language Models Documentation Language International Classification of Diseases Natural Language Processing
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Applying natural language processing to understand symptoms among older adult home healthcare patients with urinary incontinence.

Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing Nov 27, 2024
INTRODUCTION: Little is known about the range and frequency of symptoms among older adult home healthcare patients with urinary incontinence, as this information is predominantly contained in clinical notes. Natural language processing can uncover sy...
Humans Female Natural Language Processing Urinary Incontinence Cross-Sectional Studies Home Care Services Male Aged Aged, 80 and over
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Metastatic Versus Localized Disease as Inclusion Criteria That Can Be Automatically Extracted From Randomized Controlled Trials Using Natural Language Processing.

JCO clinical cancer informatics Nov 27, 2024
PURPOSE: Extracting inclusion and exclusion criteria in a structured, automated fashion remains a challenge to developing better search functionalities or automating systematic reviews of randomized controlled trials in oncology. The question "Did th...
Natural Language Processing Patient Selection Neoplasms Randomized Controlled Trials as Topic Data Mining Neoplasm Metastasis Humans Machine Learning Algorithms
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Structural analysis and intelligent classification of clinical trial eligibility criteria based on deep learning and medical text mining.

Journal of biomedical informatics Nov 26, 2024
OBJECTIVE: To enhance the efficiency, quality, and innovation capability of clinical trials, this paper introduces a novel model called CTEC-AC (Clinical Trial Eligibility Criteria Automatic Classification), aimed at structuring clinical trial eligib...
Clinical Trials as Topic Patient Selection Data Mining Cluster Analysis Natural Language Processing Humans Algorithms Deep Learning
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Natural language processing data services for healthcare providers.

BMC medical informatics and decision making Nov 26, 2024
PURPOSE OF REVIEW: Embedding machine learning workflows into real-world hospital environments is essential to ensure model alignment with clinical workflows and real-world data. Many non-healthcare industries undergoing digital transformation have al...
United Kingdom Health Personnel Natural Language Processing Humans
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