AIMC Topic: Natural Language Processing

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A Large Language Model Outperforms Other Computational Approaches to the High-Throughput Phenotyping of Physician Notes.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
High-throughput phenotyping, the automated mapping of patient signs and symptoms to standardized ontology concepts, is essential for realizing value from electronic health records (EHR) in support of precision medicine. Despite technological advances...
Natural Language Processing Phenotype Large Language Models Deep Learning Language Humans Machine Learning Electronic Health Records Artificial Intelligence
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Clinical Information Extraction with Large Language Models: A Case Study on Organ Procurement.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Recent work has demonstrated that large language models (LLMs) are powerful tools for clinical information extraction from unstructured text. However, existing approaches have largely ignored the extraction of numeric information such as laboratory t...
Large Language Models Tissue and Organ Procurement Information Storage and Retrieval Natural Language Processing Humans
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Publication Type Tagging using Transformer Models and Multi-Label Classification.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Indexing articles by their publication type and study design is essential for efficient search and filtering of the biomedical literature, but is understudied compared to indexing by MeSH topical terms. In this study, we leveraged the human-curated p...
PubMed Natural Language Processing Medical Subject Headings Abstracting and Indexing Humans Machine Learning
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Enhancing Wearable Sensor Data Classification Through Novel Modified- Recurrent Plot-Based Image Representation and Mixup Augmentation.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Deep learning advancements have revolutionized scalable classification in many domains including computer vision, healthcare and Natural Language Processing (NLP). However, when it comes to classification and domain adaptation based on wearables, it ...
Accelerometry Deep Learning Natural Language Processing Wearable Electronic Devices Fourier Analysis Humans
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Policy Library Redundancy Analysis Using K-means Clustering.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
This capstone project investigates the application of artificial intelligence (AI) techniques, specifically sentence embedding and k-means clustering using large language models, to address the challenge of policy library redundancy within a healthca...
Cluster Analysis Natural Language Processing Artificial Intelligence Humans
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Artificial Intelligence-assisted Biomedical Literature Knowledge Synthesis to Support Decision-making in Precision Oncology.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
The delivery of effective targeted therapies requires comprehensive analyses of the molecular profiling of tumors and matching with clinical phenotypes in the context of existing knowledge described in biomedical literature, registries, and knowledge...
Natural Language Processing Medical Oncology Neoplasms Information Storage and Retrieval Humans Precision Medicine Artificial Intelligence
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Early Disease Prediction Using a Text-Numerical Hybrid Model Using Large-Scale Clinical Real-World Data.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
To assist physicians in predicting diseases, most natural language processing (NLP) models have focused on progress notes in electronic medical records with full descriptions from the initial stage of patient diagnosis to the final stage of discharge...
Electronic Health Records Natural Language Processing Humans
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Using Large Language Models for sentiment analysis of health-related social media data: empirical evaluation and practical tips.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Health-related social media data generated by patients and the public provide valuable insights into patient experiences and opinions toward health issues such as vaccination and medical treatments. Using Natural Language Processing (NLP) methods to ...
Large Language Models Social Media Natural Language Processing Humans
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A Comparison of LLMs for Use in Generating Synthetic Test Data for Automated Testing of a Patient-Focused, Survey-Based System.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
In the context of a patient-focused, survey-based system, we demonstrated the potential of generative AI to create custom synthetic data using 2 different large language models (GPT 3.5 and Flan T5-XL) in AWS and Azure environments. While we improved...
Patient-Centered Care Programming Languages Natural Language Processing Humans Surveys and Questionnaires Artificial Intelligence
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MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Large Language Models (LLMs), although powerful in general domains, often perform poorly on domain-specific tasks such as medical question answering (QA). In addition, LLMs tend to function as "black-boxes", making it challenging to modify their beha...
Knowledge Bases Information Storage and Retrieval Natural Language Processing Humans
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