Enhancing Nursing and Elderly Care with Large Language Models: An AI-Driven Framework
Journal:
arXiv
Published Date:
Dec 13, 2024
Abstract
This paper explores the application of large language models (LLMs) in
nursing and elderly care, focusing on AI-driven patient monitoring and
interaction. We introduce a novel Chinese nursing dataset and implement
incremental pre-training (IPT) and supervised fine-tuning (SFT) techniques to
enhance LLM performance in specialized tasks. Using LangChain, we develop a
dynamic nursing assistant capable of real-time care and personalized
interventions. Experimental results demonstrate significant improvements,
paving the way for AI-driven solutions to meet the growing demands of
healthcare in aging populations.
