@inproceedings{sun-etal-2025-enhancing,
title = "Enhancing Nursing and Elderly Care with Large Language Models: An {AI}-Driven Framework",
author = "Sun, Qiao and
Xie, Jiexin and
Ye, Nanyang and
Gu, Qinying and
Guo, Shijie",
editor = "Rambow, Owen and
Wanner, Leo and
Apidianaki, Marianna and
Al-Khalifa, Hend and
Eugenio, Barbara Di and
Schockaert, Steven",
booktitle = "Proceedings of the 31st International Conference on Computational Linguistics",
month = jan,
year = "2025",
address = "Abu Dhabi, UAE",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.coling-main.673/",
pages = "10083--10090",
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 an interactable 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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%0 Conference Proceedings
%T Enhancing Nursing and Elderly Care with Large Language Models: An AI-Driven Framework
%A Sun, Qiao
%A Xie, Jiexin
%A Ye, Nanyang
%A Gu, Qinying
%A Guo, Shijie
%Y Rambow, Owen
%Y Wanner, Leo
%Y Apidianaki, Marianna
%Y Al-Khalifa, Hend
%Y Eugenio, Barbara Di
%Y Schockaert, Steven
%S Proceedings of the 31st International Conference on Computational Linguistics
%D 2025
%8 January
%I Association for Computational Linguistics
%C Abu Dhabi, UAE
%F sun-etal-2025-enhancing
%X 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 an interactable 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.
%U https://aclanthology.org/2025.coling-main.673/
%P 10083-10090
Markdown (Informal)
[Enhancing Nursing and Elderly Care with Large Language Models: An AI-Driven Framework](https://aclanthology.org/2025.coling-main.673/) (Sun et al., COLING 2025)
ACL