AIMC Topic: Natural Language Processing

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Combining Topic Modeling, Sentiment Analysis, and Corpus Linguistics to Analyze Unstructured Web-Based Patient Experience Data: Case Study of Modafinil Experiences.

Journal of medical Internet research Dec 11, 2024
BACKGROUND: Patient experience data from social media offer patient-centered perspectives on disease, treatments, and health service delivery. Current guidelines typically rely on systematic reviews, while qualitative health studies are often seen as...
Natural Language Processing Internet Data Mining Linguistics Modafinil Humans Social Media
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Assessing Large Language Models for Oncology Data Inference From Radiology Reports.

JCO clinical cancer informatics Dec 11, 2024
PURPOSE: We examined the effectiveness of proprietary and open large language models (LLMs) in detecting disease presence, location, and treatment response in pancreatic cancer from radiology reports.
Electronic Health Records Humans Pancreatic Neoplasms Natural Language Processing Algorithms Radiology
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Preliminary findings regarding the association between patient demographics and ED experience scores across a regional health system: A cross sectional study using natural language processing of patient comments.

International journal of medical informatics Dec 10, 2024
OBJECTIVE: Existing literature shows associations between patient demographics and reported experiences of care, but this relationship is poorly understood. Our objective was to use natural language processing of patient comments to gain insight into...
Demography Natural Language Processing Emergency Service, Hospital Patient Satisfaction Aged Young Adult Adult Humans Middle Aged Female Cross-Sectional Studies Adolescent Male
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Enhancing Thyroid Pathology With Artificial Intelligence: Automated Data Extraction From Electronic Health Reports Using RUBY.

JCO clinical cancer informatics Dec 10, 2024
PURPOSE: Thyroid nodules are common in the general population, and assessing their malignancy risk is the initial step in care. Surgical exploration remains the sole definitive option for indeterminate nodules. Extensive database access is crucial fo...
Neural Networks, Computer Artificial Intelligence Databases, Factual Male Thyroid Gland Electronic Health Records Female Humans Thyroid Neoplasms Data Mining Thyroid Nodule Natural Language Processing
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Generative Biomedical Event Extraction With Constrained Decoding Strategy.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
Currently, biomedical event extraction has received considerable attention in various fields, including natural language processing, bioinformatics, and computational biomedicine. This has led to the emergence of numerous machine learning and deep le...
Natural Language Processing Databases, Factual Data Mining Humans Deep Learning Machine Learning Computational Biology Algorithms
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Relation Extraction in Biomedical Texts: A Cross-Sentence Approach.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
Relation extraction, a crucial task in understanding the intricate relationships between entities in biomedical domains, has predominantly focused on binary relations within single sentences. However, in practical biomedical scenarios, relationships ...
Semantics Computational Biology Natural Language Processing Data Mining Humans Algorithms Databases, Factual Deep Learning
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Integrating K+ Entities Into Coreference Resolution on Biomedical Texts.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
Biomedical Coreference Resolution focuses on identifying the coreferences in biomedical texts, which normally consists of two parts: (i) mention detection to identify textual representation of biological entities and (ii) finding their coreference li...
Humans Neural Networks, Computer Computational Biology Algorithms Natural Language Processing Data Mining Databases, Factual Deep Learning
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Enhancing Generalizability in Biomedical Entity Recognition: Self-Attention PCA-CLS Model.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
One of the primary tasks in the early stages of data mining involves the identification of entities from biomedical corpora. Traditional approaches relying on robust feature engineering face challenges when learning from available (un-)annotated data...
Data Mining Datasets as Topic Convolutional Neural Networks Computational Biology Natural Language Processing Biomedical Research
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Utility of a Large Language Model for Extraction of Clinical Findings from Healthcare Data following Lung Ablation: A Feasibility Study.

Journal of vascular and interventional radiology : JVIR Dec 9, 2024
To assess the feasibility of utilizing a large language model (LLM) in extracting clinically relevant information from healthcare data in patients who have undergone microwave ablation for lung tumors. In this single-center retrospective study, radio...
Humans Retrospective Studies Electronic Health Records Hemothorax Ablation Techniques Pneumothorax Microwaves Recurrence Large Language Models Hemoptysis Lung Neoplasms Treatment Outcome Predictive Value of Tests Neoplasm Recurrence, Local Male Natural Language Processing Female Data Mining Middle Aged Feasibility Studies Reproducibility of Results Time Factors Aged
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Coherence and comprehensibility: Large language models predict lay understanding of health-related content.

Journal of biomedical informatics Dec 9, 2024
Health literacy is a prerequisite to informed health-related decision making. To facilitate understanding of information, text should be presented at an appropriate reading level for the reader. Cognitive studies suggest that the coherence of a text ...
Male Natural Language Processing Semantics Language Female Adult Reading Comprehension Large Language Models Health Literacy Humans
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