SCH: INT: Personalized Proactive Diabetes Self-Management and Social Networking for American Indians
SCH:INT:美国印第安人的个性化主动糖尿病自我管理和社交网络
基本信息
- 批准号:1722913
- 负责人:
- 金额:$ 98.81万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-09-01 至 2023-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The epidemic of diabetes in American Indian (AI) communities is a serious public health challenge. As daily diabetes care is primarily handled by the patients and their families, the effectiveness of diabetes control is largely impacted by self-care strategies and behaviors. This project proposes a proactive diabetes self-care mobile platform based on the unique socio-economic, cultural, and geographical status of AI patients living in a reservation community in the upper Midwest. The mobile platform connects AI diabetic patients to their medical devices, healthcare team and similar patients, and offers personalized prediction, recommendation, and social networking regarding diabetes care. It transforms diabetes management from the traditional reactive and hospital-centered care to preventive, proactive, evidence-based, and person-centered care. This project will also provide valuable research opportunities for both graduate and undergraduate students, especially from underrepresented populations.The goal of the project is to develop an integrated, accessible, cost-effective solution for improved diabetes self-management and social networking for AI patients. Considering the quasi-ubiquitous use of cellphones in most AI communities, a cellphone-based platform is proposed to provide smart and personalized service. A biocultural ontology is developed to model the unique characteristics of AI patients. Based on a user's ontological profile, through ontology-based reasoning and machine learning approaches, personalized prediction and recommendation are delivered to the AI patient. Semantics-based social matching is applied as a technical and intellectual framework for connecting AI patients with similarities to form online peer support communities. Personalized self-managed trust and privacy mechanisms are developed to establish secure user relationships. To improve system usability, a multimodal interface is implemented to deliver information with appropriate input and output modalities to a user based on the user's physical and social context.
糖尿病在美国印第安人社区的流行是一个严重的公共卫生挑战。由于日常糖尿病护理主要由患者及其家属处理,因此糖尿病控制的有效性在很大程度上受到自我护理策略和行为的影响。该项目提出了一个积极的糖尿病自我护理移动的平台,该平台基于生活在上中西部保留社区的AI患者的独特社会经济,文化和地理状况。该移动的平台将人工智能糖尿病患者与他们的医疗设备、医疗团队和类似患者连接起来,并提供有关糖尿病护理的个性化预测、推荐和社交网络。它将糖尿病管理从传统的反应性和以医院为中心的护理转变为预防性,主动性,循证和以人为本的护理。该项目还将为研究生和本科生提供宝贵的研究机会,特别是来自代表性不足的人群。该项目的目标是开发一个集成的,可访问的,具有成本效益的解决方案,以改善人工智能患者的糖尿病自我管理和社交网络。考虑到手机在大多数人工智能社区中的准无处不在的使用,提出了一种基于手机的平台,以提供智能和个性化的服务。开发生物文化本体来模拟AI患者的独特特征。基于用户的本体特征,通过基于本体的推理和机器学习方法,向AI患者提供个性化的预测和推荐。基于语义的社会匹配被用作一种技术和知识框架,用于将具有相似性的AI患者连接起来,以形成在线同伴支持社区。开发了个性化的自我管理的信任和隐私机制,以建立安全的用户关系。为了提高系统可用性,实现多模态接口以基于用户的物理和社会背景向用户递送具有适当的输入和输出模态的信息。
项目成果
期刊论文数量(29)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A Blockchain-Based Personal Health Knowledge Graph for Secure Integrated Health Data Management
- DOI:10.1109/iscc58397.2023.10218032
- 发表时间:2023-07
- 期刊:
- 影响因子:0
- 作者:Juan Li;Vikram Pandey;Rasha Hendawi
- 通讯作者:Juan Li;Vikram Pandey;Rasha Hendawi
Evaluation and Evolution of NAOnto – An Ontology for Personalized Diabetes Management for Native Americans
- DOI:10.1109/iccc54389.2021.9674339
- 发表时间:2021-12
- 期刊:
- 影响因子:0
- 作者:Vikram Pandey;Juan Li;Shadi Alian
- 通讯作者:Vikram Pandey;Juan Li;Shadi Alian
Personalized Meal Planning for Diabetic Patients Using a Multi-Criteria Decision- Making Approach
使用多标准决策方法为糖尿病患者制定个性化膳食计划
- DOI:10.1109/healthcom46333.2019.9009593
- 发表时间:2019
- 期刊:
- 影响因子:0
- 作者:Zadeh, Maryam Sadat;Li, Juan;Alian, Shadi
- 通讯作者:Alian, Shadi
A Personalized Recommendation System to Support Diabetes Self-Management for American Indians
- DOI:10.1109/access.2018.2882138
- 发表时间:2018-01-01
- 期刊:
- 影响因子:3.9
- 作者:Alian, Shadi;Li, Juan;Pandey, Vikram
- 通讯作者:Pandey, Vikram
ADDietCoach: A Personalized Virtual Diet Coach for Alzheimer's Disease
ADDietCoach:阿尔茨海默病的个性化虚拟饮食教练
- DOI:10.4018/ijehmc.20211101.oa6
- 发表时间:2021
- 期刊:
- 影响因子:1.2
- 作者:Hendawi, Rasha;Li, Juan;Alian, Shadi
- 通讯作者:Alian, Shadi
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Juan Li其他文献
Graphene nanoribbon precursor dehydrogenation on diamond for transparent all-carbon precision device elements
石墨烯纳米带前驱体在金刚石上脱氢用于透明全碳精密器件元件
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Jiangtao Zhu;Jinping Shi;Juan Li - 通讯作者:
Juan Li
Temperature determines the diversity and structure of N<sub>2</sub>Oâ•’reducing microbial assemblages
温度决定N<sub>2</sub>OⅤ还原微生物群落的多样性和结构
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Bo Wu;Feifei Liu;M. Weiser;D. Ning;J. Okie;Lina Shen;Juan Li;Benli Chai;Ye Deng;Kai Feng;Liyou Wu;Shouwen Chen;Jizhong Zhou;Zhili He - 通讯作者:
Zhili He
A Pr3 -coordination polymer as an adsorbent for neutral red
一种Pr3配位聚合物作为中性红吸附剂
- DOI:
10.1080/00958972.2019.1687889 - 发表时间:
2019 - 期刊:
- 影响因子:1.9
- 作者:
Ling Qin;Qing-He Liu;Li Wang;Xin-Ru Ma;Hao Shen;Yun-Yun Li;Xi-Xiu Shi;Yang Wu;Juan Li - 通讯作者:
Juan Li
Analysis of Genes and Proteins in Acidithiobacillus ferrooxidans During Growth and Attachment on Pyrite Under Different Conditions
不同条件下氧化亚铁硫杆菌生长及附着黄铁矿过程中的基因和蛋白质分析
- DOI:
10.1080/01490451.2012.668608 - 发表时间:
2013-01 - 期刊:
- 影响因子:2.3
- 作者:
Bowen Tu;Fuqiang Wang;Juan Li;Jishao Sha;Xiancai Lu;Xiaodong Han - 通讯作者:
Xiaodong Han
Episodic reconstruction contributes to high-confidence false recognition memories in older adults: Evidence from event-related potentials
情景重建有助于老年人高置信度的错误识别记忆:来自事件相关电位的证据
- DOI:
10.1016/j.bandc.2019.02.002 - 发表时间:
2019-06 - 期刊:
- 影响因子:2.5
- 作者:
Zhiwei Zheng;Minjia Lang;Wei Wang;Fengqiu Xiao;Juan Li - 通讯作者:
Juan Li
Juan Li的其他文献
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{{ truncateString('Juan Li', 18)}}的其他基金
Collaborative Research: Education DCL: EAGER: Redefining Cybersecurity Education for Criminal Justice Professionals: Bridging the Gap in National Cyber Capabilities
合作研究:教育 DCL:EAGER:重新定义刑事司法专业人员的网络安全教育:缩小国家网络能力的差距
- 批准号:
2334197 - 财政年份:2023
- 资助金额:
$ 98.81万 - 项目类别:
Standard Grant
IPA Agreement with Kean University 1st year (Li 2022)
与肯恩大学签订 IPA 协议第一年 (Li 2022)
- 批准号:
2208802 - 财政年份:2022
- 资助金额:
$ 98.81万 - 项目类别:
Intergovernmental Personnel Award
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