AIMC Topic: Large Language Models

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Structured Knowledge Base Enhances Effective Use of Large Language Models for Metadata Curation.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
field name-field value
Metadata Natural Language Processing Humans Large Language Models Data Curation Lung Neoplasms Knowledge Bases
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Narrative Feature or Structured Feature? A Study of Large Language Models to Identify Cancer Patients at Risk of Heart Failure.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Cancer treatments are known to introduce cardiotoxicity, negatively impacting outcomes and survivorship. Identifying cancer patients at risk of heart failure (HF) is critical to improving cancer treatment outcomes and safety. This study examined mach...
Large Language Models Female Humans Risk Assessment Natural Language Processing Machine Learning Neoplasms Heart Failure Electronic Health Records Narration
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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...
Phenotype Electronic Health Records Natural Language Processing Artificial Intelligence Humans Large Language Models Language Machine Learning Deep Learning
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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...
Tissue and Organ Procurement Humans Large Language Models Information Storage and Retrieval Natural Language Processing
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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 ...
Humans Large Language Models Social Media Natural Language Processing
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Boosting Social Determinants of Health Extraction with Semantic Knowledge Augmented Large Language Model.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Social determinants of health (SDoH) significantly impacts health outcomes and contributes to perpetuating health disparities across healthcare applications. However, automatic extraction of SDoH information from Electronic Health Records (EHRs) is c...
Large Language Models Social Determinants of Health Unified Medical Language System Electronic Health Records Natural Language Processing Data Mining Semantics Humans
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Extraction of Normalized Symptom Mentions From Clinical Narratives Using Large Language Models.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Symptoms, or subjective experiences of patients which can indicate underlying pathology, are important for guiding clinician decision-making and revealing patient wellbeing. However, they are difficult to study because information is primarily found ...
Humans Narration Natural Language Processing Machine Learning Electronic Health Records Symptom Assessment Large Language Models
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The Use of Large Language Models to Accelerate Literature Review Towards Digital Health Equity and Inclusiveness.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Digital health technologies (DHTs) have revolutionized clinical trials, offering unprecedented opportunities to streamline processes, enhance patient engagement, and improve data quality. Growing technology device and broadband access are contributin...
Language Randomized Controlled Trials as Topic Large Language Models Natural Language Processing Review Literature as Topic Health Equity Humans Digital Health Digital Technology
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Harnessing the Power of Large Language Models (LLMs) to Unravel the Influence of Genes and Medications on Biological Processes of Wound Healing.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Recent advancements in Large Language Models (LLMs) have ushered in a new era for knowledge extraction in the domains of biological and clinical natural language processing (NLP). In this research, we present a novel approach to understanding the reg...
Humans Large Language Models Wound Healing Genes Natural Language Processing
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