物联网移动应用与医疗服务在老年糖尿病患者中的应用：系统综述

数据集获取（Figshare）

• 源站标题：Investigating the Application of IoT Mobile App and Healthcare Services for Diabetic Elderly: A Systematic Review
• DOI：10.6084/m9.figshare.28529999.v7
• 发布日期：2025-03-06
• 文件数：9 个
• 文件总体积：3.74 MB
• 源站页面：https://figshare.com/articles/dataset/Investigating_the_Application_of_IoT_Mobile_App_and_Healthcare_Services_for_Diabetic_Elderly_A_Systematic_Review/28529999

命令行下载

curl -L -o "3-Literature search syntax.docx" "https://ndownloader.figshare.com/files/52788758"
curl -L -o "2-Detailed inclusion:exclusion criteria.docx" "https://ndownloader.figshare.com/files/52788761"
curl -L -o "4-Table of Studies Identified and Excluded from Analysis".xlsx" "https://ndownloader.figshare.com/files/52803533"
curl -L -o "5-Data Extraction Table from Primary Sources.xlsx" "https://ndownloader.figshare.com/files/52803536"
curl -L -o "6-CASP-reporting quality assessment.xlsx" "https://ndownloader.figshare.com/files/52803539"
curl -L -o "1-PRISMA checklist-18- sep-2024.docx" "https://ndownloader.figshare.com/files/52804892"
curl -L -o "7-Cochrance RoB1-risk of bias assessment.xlsx" "https://ndownloader.figshare.com/files/52806992"
curl -L -o "ethical clearance file.pdf" "https://ndownloader.figshare.com/files/52833965"

文件清单

• 3-Literature search syntax.docx（14.63 KB）
• 2-Detailed inclusion:exclusion criteria.docx（15.74 KB）
• 4-Table of Studies Identified and Excluded from Analysis".xlsx（120.74 KB）
• 5-Data Extraction Table from Primary Sources.xlsx（39.55 KB）
• 6-CASP-reporting quality assessment.xlsx（15.81 KB）
• 1-PRISMA checklist-18- sep-2024.docx（1.15 MB）
• 7-Cochrance RoB1-risk of bias assessment.xlsx（53.92 KB）
• ethical clearance file.pdf（223.58 KB）
• funding support file.pdf（2.10 MB）

文件总体积 3.74 MB（源站 API 实测）。

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

As the prevalence of diabetes increases among the elderly population, effective management becomes increasingly crucial. IoT mobile applications offer promising solutions for diabetes care by providing real-time monitoring, medication management, and lifestyle support. This paper aims to investigate the potential applications and challenges of IoT mobile applications in managing diabetes among elderly patients. Three databases including Scopus, Web of Science, and IEEE were systematically searched; 29 articles were screened in the final analysis process. Key results indicate that the application of mobile apps includes blood glucose monitoring, medication adherence, promotion of physical activity, and dietary control. Devices such as continuous glucose monitors and smart pill dispensers significantly improve glycemic control and medication adherence rates, these technologies enable real-time tracking, personalized feedback, and timely interventions, which enhance self-management and communication with healthcare providers. However, technical challenges like interoperability, data security and privacy, usability and involvement of policymakers pose significant barriers to their effective implementation. Collaborative efforts from healthcare providers, device manufacturers, and policymakers are essential to overcome these barriers and fully leverage the benefits of IoT technologies in diabetic elderly care. This review highlights the need for collaborative efforts to develop standardized frameworks that ensure device compatibility and seamless data integration in IoT solutions for diabetic elderly care, enhance data privacy with advanced technology, and design user-friendly apps for the diabetic elderly to improve the generalization and adoption of IoT IoT mobile applications in healthcare fields for elderly.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.28529999.v7（source: https://figshare.com/articles/dataset/Investigating_the_Application_of_IoT_Mobile_App_and_Healthcare_Services_for_Diabetic_Elderly_A_Systematic_Review/28529999）。