五款自测血糖系统准确度评估数据集
基于ISO 15197:2013标准,评估五款血糖仪在普通用户和专业人员的准确度差异,并模拟胰岛素给药误差。

基本信息
资源简介
五款自测血糖系统准确度评估数据集
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集,收录 4 个文件、合计 5.77 MB,主题涵盖 Self-monitoring of blood glucose、system accuracy、ISO 15197、user performance、lay-user,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Accuracy of five systems for self-monitoring of blood glucose in the hands of adult lay-users and professionals applying ISO 15197:2013 accuracy criteria and potential insulin dosing errors》。配套论文《Accuracy of five systems for self-monitoring of blood glucose in the hands of adult lay-users and professionals applying ISO 15197:2013 accuracy criteria and potential insulin dosing errors》发表于 Current Medical Research and Opinion(2018),DOI:10.1080/03007995.2018.1491832。项目资助方:Ascensia Diabetes Care Deutschland GmbH. Germany.;。源站首次发布:2018-07-19。
【数据内容】
源站原始描述:Objective: In this study, accuracy in the hands of intended users was evaluated for five self-monitoring of blood glucose (SMBG) systems based on ISO 15197:2013, and possibly related insulin dosing errors were calculated. In addition, accuracy was assessed in the hands of study personnel. Methods: For each system (Accu-Chek1 Aviva Connect [A], Contour2 Next One [B], FreeStyle Freedom Lite3 [C], GlucoMen4 areo [D] and OneTouch Verio5 [E]) one test strip lot was evaluated as required by ISO 15197:…
【数据结构与技术规格】
文件数 4 个,合计 5.77 MB。icmo_a_1491832_sm8325.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,30.04 KB。icmo_a_1491832_sm8324.tif:image/tiff,4.57 MB。icmo_a_1491832_sm8323.tif:image/tiff,1.13 MB。数据集 DOI:10.6084/m9.figshare.6840431.v1。
【主题与分类】
源站学科分类:Space Science、Medicine、Genetics、Physiology、Pharmacology、Chemical Sciences not elsewhere classified。主题标签:Self-monitoring of blood glucose、system accuracy、ISO 15197、user performance、lay-user、insulin dosing error、surveillance error grid。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面:https://tandf.figshare.com/articles/dataset/Accuracy_of_five_systems_for_self-monitoring_of_blood_glucose_in_the_hands_of_adult_lay-users_and_professionals_applying_ISO_15197_2013_accuracy_criteria_and_potential_insulin_dosing_errors/6840431
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Accuracy of five systems for self-monitoring of blood glucose in the hands of adult lay-users and professionals applying ISO 15197:2013 accuracy criteria and potential insulin dosing errors. Taylor & Francis. Jendrike, Nina; Baumstark, Annette; Pleus, Stefan; Liebing, Christina; Kamecke, Ulrike; Hau…
【使用注意】
· 源站最后修改于 2023-06-05,引用时请注意版本时效。
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取(Figshare)
- 源站标题:Accuracy of five systems for self-monitoring of blood glucose in the hands of adult lay-users and professionals applying ISO 15197:2013 accuracy criteria and potential insulin dosing errors
- DOI:10.6084/m9.figshare.6840431.v1
- 发布日期:2018-07-19
- 文件数:4 个
- 文件总体积:5.77 MB
- 源站页面:https://tandf.figshare.com/articles/dataset/Accuracy_of_five_systems_for_self-monitoring_of_blood_glucose_in_the_hands_of_adult_lay-users_and_professionals_applying_ISO_15197_2013_accuracy_criteria_and_potential_insulin_dosing_errors/6840431
命令行下载
curl -L -o "icmo_a_1491832_sm8325.docx" "https://ndownloader.figshare.com/files/12454637"
curl -L -o "icmo_a_1491832_sm8324.tif" "https://ndownloader.figshare.com/files/12454640"
curl -L -o "icmo_a_1491832_sm8323.tif" "https://ndownloader.figshare.com/files/12454643"
curl -L -o "icmo_a_1491832_sm8322.docx" "https://ndownloader.figshare.com/files/12454646"
文件清单
icmo_a_1491832_sm8325.docx(30.04 KB)icmo_a_1491832_sm8324.tif(4.57 MB)icmo_a_1491832_sm8323.tif(1.13 MB)icmo_a_1491832_sm8322.docx(35.80 KB)
文件总体积 5.77 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
Objective: In this study, accuracy in the hands of intended users was evaluated for five self-monitoring of blood glucose (SMBG) systems based on ISO 15197:2013, and possibly related insulin dosing errors were calculated. In addition, accuracy was assessed in the hands of study personnel.
Methods: For each system (Accu-Chek1 Aviva Connect [A], Contour2 Next One [B], FreeStyle Freedom Lite3 [C], GlucoMen4 areo [D] and OneTouch Verio5 [E]) one test strip lot was evaluated as required by ISO 15197:2013, clause 8. Number and percentage of SMBG measurements within ±15 mg/dl and ±15% of the comparison measurements at glucose concentrations Results: Four systems (A, B, C, D) fulfilled the tested reagent system lot ISO 15197:2013 accuracy criteria with the tested reagent system lot with at least 95% (lay-users) and 99.5% (study personnel) of results within the defined limits. Measurements with all five systems were within the clinically acceptable zones of the consensus error grid and the surveillance error grid. Median modeled insulin dosing errors were between -0.8 and +0.6 units for measurements performed by lay-users and between -0.7 and +0.8 units for study personnel. Frequent lay-user errors were not checking the test strips’ expiry date, applying blood incorrectly and handling the device incorrectly.
Conclusion: In this study, the systems showed slight differences in the number of results within ISO 15197:2013 accuracy limits. Inaccurate SMBG measurements can result in insulin dosing errors and adversely affect glycemic control.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.6840431.v1(source: https://tandf.figshare.com/articles/dataset/Accuracy_of_five_systems_for_self-monitoring_of_blood_glucose_in_the_hands_of_adult_lay-users_and_professionals_applying_ISO_15197_2013_accuracy_criteria_and_potential_insulin_dosing_errors/6840431)。
需要用于商业化训练或医疗器械注册(NMPA/FDA)?
公开数据往往缺乏完整的病理回证与专家标注。千方医数集依托陕川双基地与超十家三甲医院直连,提供完全合规、去标识化、支持注册级质控的专病数据集交易服务。




