AIMC Topic: Large Language Models

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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...
Humans Electronic Health Records Natural Language Processing Data Mining Semantics Social Determinants of Health Unified Medical Language System Large Language Models
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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 Machine Learning Electronic Health Records Narration Natural Language Processing 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...
Humans Digital Health Language Randomized Controlled Trials as Topic Natural Language Processing Health Equity Review Literature as Topic Digital Technology Large Language Models
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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 Wound Healing Natural Language Processing Large Language Models Genes
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