An adapted large language model facilitates multiple medical tasks in diabetes care

计算机科学 糖尿病 语言模型 自然语言处理 医学 内分泌学
作者
Wei Lai,Zhen Ying,M. He,Yutong Chen,Qian Yang,Hong Ye,Jiaping Lu,Xiaoying Li,Weiran Huang,Ying Chen
出处
期刊:Cornell University - arXiv
标识
DOI:10.48550/arxiv.2409.13191
摘要

Diabetes is a chronic disease that poses a significant global health burden, and optimizing diabetes management requires multi-stakeholder collaboration. Large language models (LLMs) have shown promise in various healthcare scenarios, but their effectiveness across a diverse range of diabetes tasks remains unproven. In this study, we introduced a framework to train and validate diabetes-specific LLMs. We first developed a comprehensive data processing pipeline that includes data collection, filtering, augmentation and refinement. This approach contributes to creating a high-quality, diabetes-specific dataset, and several evaluation benchmarks entirely from scratch. Utilizing the collected training dataset, we fine-tuned a diabetes-specific LLM family that demonstrated state-of-the-art proficiency in understanding and processing various diabetes tasks compared to other LLMs. Furthermore, clinical studies showed the potential applications of our models in diabetes care, including providing personalized healthcare, assisting medical education, and streamlining clinical tasks. In conclusion, our study introduced a framework to develop and evaluate a diabetes-specific LLM family, and highlighted its potential to enhance clinical practice and provide personalized, data-driven support for diabetes support when facing different end users. The code is provided via GitHub at https://github.com/waltonfuture/Diabetica.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
2秒前
量子星尘发布了新的文献求助10
4秒前
5秒前
张大英发布了新的文献求助10
7秒前
马er完成签到,获得积分20
7秒前
奮斗完成签到,获得积分10
7秒前
戴岱完成签到,获得积分10
8秒前
哈哈鹿发布了新的文献求助10
9秒前
9秒前
黎明森完成签到,获得积分10
9秒前
Monica应助朴素若枫采纳,获得30
10秒前
11秒前
科研通AI5应助科研通管家采纳,获得10
11秒前
SYLH应助科研通管家采纳,获得30
11秒前
11秒前
czh应助科研通管家采纳,获得10
11秒前
科研通AI2S应助科研通管家采纳,获得10
11秒前
11秒前
今后应助科研通管家采纳,获得10
11秒前
顾矜应助科研通管家采纳,获得10
11秒前
11秒前
丘比特应助科研通管家采纳,获得10
11秒前
赘婿应助科研通管家采纳,获得10
11秒前
11秒前
11秒前
11秒前
王羊补牢发布了新的文献求助10
14秒前
布施德完成签到 ,获得积分10
15秒前
Zzz完成签到,获得积分10
16秒前
呆萌板凳完成签到,获得积分20
18秒前
19秒前
20秒前
哈哈鹿完成签到,获得积分10
20秒前
SS完成签到,获得积分20
21秒前
华仔应助t团子采纳,获得10
24秒前
25秒前
Yang发布了新的文献求助10
26秒前
zty完成签到,获得积分10
28秒前
30秒前
小束爱吃樱桃完成签到 ,获得积分10
31秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3989242
求助须知:如何正确求助?哪些是违规求助? 3531393
关于积分的说明 11253753
捐赠科研通 3270010
什么是DOI,文献DOI怎么找? 1804868
邀请新用户注册赠送积分活动 882084
科研通“疑难数据库(出版商)”最低求助积分说明 809136