AIMC Topic: Natural Language Processing

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Preprocessing of natural language process variables using a data-driven method improves the association with suicide risk in a large veterans affairs population.

Computers in biology and medicine Mar 5, 2025
OBJECTIVE: Suicide risk assessment has historically relied heavily on clinical evaluations and patient self-reports. Natural language processing (NLP) of electronic health records (EHRs) provides an alternative approach for extracting risk predictors...
Psychological Well-Being United States Department of Defense Suicide, Completed Predictive Learning Models Humans Electronic Health Records Female Aged Case-Control Studies Adolescent Suicide Prevention United States Department of Veterans Affairs United States Veterans Natural Language Processing Aged, 80 and over Young Adult Male Adult Middle Aged Risk Assessment
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Natural Language Processing Technologies for Public Health in Africa: Scoping Review.

Journal of medical Internet research Mar 5, 2025
BACKGROUND: Natural language processing (NLP) has the potential to promote public health. However, applying these technologies in African health systems faces challenges, including limited digital and computational resources to support the continent'...
Humans Public Health Africa Natural Language Processing
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Characterizing Public Sentiments and Drug Interactions in the COVID-19 Pandemic Using Social Media: Natural Language Processing and Network Analysis.

Journal of medical Internet research Mar 5, 2025
BACKGROUND: While the COVID-19 pandemic has induced massive discussion of available medications on social media, traditional studies focused only on limited aspects, such as public opinions, and endured reporting biases, inefficiency, and long collec...
Alanine Humans Adenosine Monophosphate Pandemics COVID-19 Natural Language Processing SARS-CoV-2 Drug Interactions Antiviral Agents COVID-19 Drug Treatment Social Media
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Use of natural language processing method to identify regional anesthesia from clinical notes.

Regional anesthesia and pain medicine Mar 5, 2025
INTRODUCTION: Accurate data capture is integral for research and quality improvement efforts. Unfortunately, limited guidance for defining and documenting regional anesthesia has resulted in wide variation in documentation practices, even within indi...
Algorithms Electronic Health Records Female Humans Natural Language Processing Anesthesia, Conduction California Hospitals, Veterans Cross-Sectional Studies Male Middle Aged
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Natural Language Processing and soft data for motor skill assessment: A case study in surgical training simulations.

Computer methods and programs in biomedicine Mar 4, 2025
BACKGROUND AND OBJECTIVE: Automated surgical skill assessment using kinematic and video data (hard data) sources has been widely adopted in the literature. However, experts' opinions (soft data) in the form of free-text could be an invaluable source ...
Biomechanical Phenomena Motor Skills Humans Clinical Competence Machine Learning Simulation Training Natural Language Processing Algorithms
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Performance Improvement of a Natural Language Processing Tool for Extracting Patient Narratives Related to Medical States From Japanese Pharmaceutical Care Records by Increasing the Amount of Training Data: Natural Language Processing Analysis and Validation Study.

JMIR medical informatics Mar 4, 2025
BACKGROUND: Patients' oral expressions serve as valuable sources of clinical information to improve pharmacotherapy. Natural language processing (NLP) is a useful approach for analyzing unstructured text data, such as patient narratives. However, few...
Data Mining Electronic Health Records Narration Pharmaceutical Services Humans Natural Language Processing Japan Deep Learning East Asian People
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Investigation of cell development and tissue structure network based on natural Language processing of scRNA-seq data.

Journal of translational medicine Mar 4, 2025
BACKGROUND: Single-cell multi-omics technologies, particularly single-cell RNA sequencing (scRNA-seq), have revolutionized our understanding of cellular heterogeneity and development by providing insights into gene expression at the single-cell level...
Cell Differentiation Organ Specificity Single-Cell Analysis RNA-Seq Gene Regulatory Networks Single-Cell Gene Expression Analysis Sequence Analysis, RNA Natural Language Processing Humans Animals
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Vision-language large learning model, GPT4V, accurately classifies the Boston Bowel Preparation Scale score.

BMJ open gastroenterology Mar 4, 2025
INTRODUCTION: Large learning models (LLMs) such as GPT are advanced artificial intelligence (AI) models. Originally developed for natural language processing, they have been adapted for multi-modal tasks with vision-language input. One clinically rel...
Machine Learning Humans Natural Language Processing Artificial Intelligence
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Using a Longformer Large Language Model for Segmenting Unstructured Cancer Pathology Reports.

JCO clinical cancer informatics Mar 4, 2025
PURPOSE: Many Natural Language Processing (NLP) methods achieve greater performance when the input text is preprocessed to remove extraneous or unnecessary text. A technique known as text segmentation can facilitate this step by isolating key section...
Natural Language Processing Large Language Models Humans Algorithms Electronic Health Records Neoplasms
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Automated structured data extraction from intraoperative echocardiography reports using large language models.

British journal of anaesthesia Mar 3, 2025
BACKGROUND: Consensus-based large language model (LLM) ensembles might provide an automated solution for extracting structured data from unstructured text in echocardiography reports.
Female Aged Adult Middle Aged Humans Echocardiography, Transesophageal Cardiac Surgical Procedures Cross-Sectional Studies Monitoring, Intraoperative Information Storage and Retrieval Male Large Language Models Natural Language Processing Echocardiography
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