严重低血糖发作的经济资源消耗结构:系统综述与meta分析
包含14项研究6075名糖尿病患者的严重低血糖事件资源消耗结构数据,分为医院、医疗专业人员和家庭治疗三类。

基本信息
资源简介
严重低血糖发作的经济资源消耗结构:系统综述与meta分析
【数据集背景】
本数据集源站标题为《Economic resources consumption structure in severe hypoglycemia episodes: a systematic review and meta-analysis》。配套论文《Economic resources consumption structure in severe hypoglycemia episodes: a systematic review and meta-analysis》发表于 Expert Review of Pharmacoeconomics & Outcomes Research(2015),DOI:10.1586/14737167.2015.1076338。源站首次发布:2015-10-08。
【数据内容】
源站原始描述:Diabetes mellitus (DM) is associated with severe hypoglycemia events (SHEs) that vary in severity and resource consumption. Here we perform a systematic review in Medline of studies evaluating SHE-related health resource use. Eligible studies investigated patients with DM and included ≥10 SHEs. We also assessed studies identified in another systematic review, and through references from the included studies. We identified 14 relevant studies and used data from 11 (encompassing 6075 patients). St…
【数据结构与技术规格】
文件数 3 个,合计 267.30 KB。ierp_a_1076338_sm4282.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,89.67 KB。ierp_a_1076338_sm4284.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,96.74 KB。ierp_a_1076338_sm5980.doc:application/msword,80.90 KB。数据集 DOI:10.6084/m9.figshare.1568612.v2。
【主题与分类】
源站学科分类:Science Policy、Biological Sciences、Earth and Environmental Sciences。主题标签:dm、SHE type structure、review、Economic resources consumption structure、resource consumption。
【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/Economic_resources_consumption_structure_in_severe_hypoglycemia_episodes_a_systematic_review_and_meta_analysis/1568612
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Economic resources consumption structure in severe hypoglycemia episodes: a systematic review and meta-analysis. Taylor & Francis. Jakubczyk, Michał; Rdzanek, Elżbieta; Niewada, Maciej; Czech, Marcin
【使用注意】
· 源站最后修改于 2023-06-01,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。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放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:Economic resources consumption structure in severe hypoglycemia episodes: a systematic review and meta-analysis
- DOI:10.6084/m9.figshare.1568612.v2
- 发布日期:2015-10-08
- 文件数:3 个
- 文件总体积:267.30 KB
- 源站页面:https://tandf.figshare.com/articles/dataset/Economic_resources_consumption_structure_in_severe_hypoglycemia_episodes_a_systematic_review_and_meta_analysis/1568612
命令行下载
curl -L -o "ierp_a_1076338_sm4282.docx" "https://ndownloader.figshare.com/files/2352609"
curl -L -o "ierp_a_1076338_sm4284.docx" "https://ndownloader.figshare.com/files/2352610"
curl -L -o "ierp_a_1076338_sm5980.doc" "https://ndownloader.figshare.com/files/2352611"
文件清单
ierp_a_1076338_sm4282.docx(89.67 KB)ierp_a_1076338_sm4284.docx(96.74 KB)ierp_a_1076338_sm5980.doc(80.90 KB)
文件总体积 267.30 KB(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
Diabetes mellitus (DM) is associated with severe hypoglycemia events (SHEs) that vary in severity and resource consumption. Here we perform a systematic review in Medline of studies evaluating SHE-related health resource use. Eligible studies investigated patients with DM and included ≥10 SHEs. We also assessed studies identified in another systematic review, and through references from the included studies. We identified 14 relevant studies and used data from 11 (encompassing 6075 patients). Study results were interpreted to fit our definitions, which sometimes required assumptions. SHE type structure was synthesized using Bayesian modeling. Estimating Type 1 & 2 DM separately revealed only small differences; therefore, we used joint results. Of the analyzed SHEs, 9.97% were hospital-treated, 22.3% medical professional-treated, and 67.73% family-treated. These meta-analysis results help in understanding the structure of resource consumption following SHE and can be used in economic studies.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.1568612.v2(source: https://tandf.figshare.com/articles/dataset/Economic_resources_consumption_structure_in_severe_hypoglycemia_episodes_a_systematic_review_and_meta_analysis/1568612)。
数据缺失?
依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。
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