糖尿病患者寻求第二家医院能否得到更好护理？巢式病例对照研究

数据集获取（Figshare）

• 源站标题：Can diabetes patients seeking a second hospital get better care? Results from nested case–control study
• DOI：10.1371/journal.pone.0210809
• 发布日期：2019-01-22
• 文件数：3 个
• 文件总体积：4.42 MB
• 源站页面：https://plos.figshare.com/articles/dataset/Can_diabetes_patients_seeking_a_second_hospital_get_better_care_Results_from_nested_case_control_study/7614680

命令行下载

curl -L -o "pone.0210809.s001.docx" "https://ndownloader.figshare.com/files/14142023"
curl -L -o "pone.0210809.s002.docx" "https://ndownloader.figshare.com/files/14142026"
curl -L -o "pone.0210809.s003.sas7bdat" "https://ndownloader.figshare.com/files/14142029"

文件清单

• pone.0210809.s001.docx（15.04 KB）
• pone.0210809.s002.docx（13.12 KB）
• pone.0210809.s003.sas7bdat（4.39 MB）

文件总体积 4.42 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

This study investigates the effects of the number of medical institutions visited on risk of death. This study conducted a nested case-control design using the National Health Insurance Service–Senior database from 2002 to 2013. Cases were defined as those with death among outpatients who had first diagnosis of diabetes mellitus (E10-E14) after entry into the base cohort and controls were selected by incidence density sampling and matched to cases based on age, and sex. Our main results were presented by conditional logistic regression for nested case-controls design. Of total 55,558 final study samples, there were 9,313 (16.8%) cases and 46,245 (83.2%) controls. With an increase by one point in the number of hospitals per medical utilization, risk of death significantly increased by 4.1% (odds ratio (OR): 1.041, 95% confidence interval [CI]: 1.039–1.043). In both medical utilization and number of hospitals, those with high medical utilization (OR: 1.065, 95% CI: 1.059–1.070) and number of hospitals (OR: 1.049, 95% CI: 1.041–1.058) for risk of death were significantly higher than those with low medical utilization (OR: 1.040, 95% CI: 1.037–1.043) and number of hospitals (OR: 1.029, 95% CI: 1.027–1.032), respectively. The number of medical institution visited was significantly associated with risk of death. Therefore, diabetics should be warned about the potential of risk of death incurred from excessive access to medical utilizations.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0210809（source: https://plos.figshare.com/articles/dataset/Can_diabetes_patients_seeking_a_second_hospital_get_better_care_Results_from_nested_case_control_study/7614680）。