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Found 3 papers, 1 papers with code
Enhancing Adverse Drug Event Detection with Multimodal Dataset: Corpus Creation and Model Development
Additionally, we introduce a framework that leverages the capabilities of LLMs and VLMs for ADE detection by generating detailed descriptions of medical images depicting ADEs, aiding healthcare professionals in visually identifying adverse events.
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
This approach leverages task-specific instructions, known as prompts, to enhance model efficacy without modifying the core model parameters.
CRDT: Correlation Ratio Based Decision Tree Model for Healthcare Data Mining
In this paper, we have tried to focus on this characteristics of the datasets while analysing the performance of our proposed approach which is a variant of Decision Tree model and uses the concept of Correlation Ratio(CR).
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