Enhancing Nursing and Elderly Care with Large Language Models: An AI-Driven Framework

Qiao Sun, Jiexin Xie, Nanyang Ye, Qinying Gu, Shijie Guo
12/13/2024
cs.CLcs.AI

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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.

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Cite this paper

@article{sun2024enhancing,
  title  = {Enhancing Nursing and Elderly Care with Large Language Models: An AI-Driven Framework},
  author = {Qiao Sun and Jiexin Xie and Nanyang Ye and Qinying Gu and Shijie Guo},
  year   = {2024},
  eprint = {2412.09946},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2412.09946v1}
}

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