Enhancing Nursing and Elderly Care with Large Language Models: An AI-Driven Framework
- URL: http://arxiv.org/abs/2412.09946v1
- Date: Fri, 13 Dec 2024 08:10:56 GMT
- Title: Enhancing Nursing and Elderly Care with Large Language Models: An AI-Driven Framework
- Authors: Qiao Sun, Jiexin Xie, Nanyang Ye, Qinying Gu, Shijie Guo,
- Abstract summary: 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.
- Score: 9.201523682061753
- License:
- 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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