随机血浆葡萄糖预测糖尿病诊断

数据集获取（Figshare）

• 源站标题：Random plasma glucose predicts the diagnosis of diabetes
• DOI：10.1371/journal.pone.0219964
• 发布日期：2019-07-19
• 文件数：9 个
• 文件总体积：1.53 MB
• 源站页面：https://plos.figshare.com/articles/dataset/Random_plasma_glucose_predicts_the_diagnosis_of_diabetes/8967575

命令行下载

curl -L -o "pone.0219964.s001.pdf" "https://ndownloader.figshare.com/files/16411121"
curl -L -o "pone.0219964.s002.pdf" "https://ndownloader.figshare.com/files/16411124"
curl -L -o "pone.0219964.s003.pdf" "https://ndownloader.figshare.com/files/16411130"
curl -L -o "pone.0219964.s004.pdf" "https://ndownloader.figshare.com/files/16411133"
curl -L -o "pone.0219964.s005.pdf" "https://ndownloader.figshare.com/files/16411139"
curl -L -o "pone.0219964.s006.pdf" "https://ndownloader.figshare.com/files/16411142"
curl -L -o "pone.0219964.s007.pdf" "https://ndownloader.figshare.com/files/16411145"
curl -L -o "pone.0219964.s008.tif" "https://ndownloader.figshare.com/files/16411148"

文件清单

• pone.0219964.s001.pdf（146.31 KB）
• pone.0219964.s002.pdf（114.24 KB）
• pone.0219964.s003.pdf（147.62 KB）
• pone.0219964.s004.pdf（357.48 KB）
• pone.0219964.s005.pdf（172.57 KB）
• pone.0219964.s006.pdf（9.40 KB）
• pone.0219964.s007.pdf（149.45 KB）
• pone.0219964.s008.tif（219.46 KB）
• pone.0219964.s009.tif（208.90 KB）

文件总体积 1.53 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

Aims/Hypothesis
Early recognition of those at high risk for diabetes as well as diabetes itself can permit preventive management, but many Americans with diabetes are undiagnosed. We sought to determine whether routinely available outpatient random plasma glucose (RPG) would be useful to facilitate the diagnosis of diabetes.
Methods
Retrospective cohort study of 942,446 U.S. Veterans without diagnosed diabetes, ≥3 RPG in a baseline year, and ≥1 primary care visit/year during 5-year follow-up. The primary outcome was incident diabetes (defined by diagnostic codes and outpatient prescription of a diabetes drug).
Results
Over 5 years, 94,599 were diagnosed with diabetes [DIAB] while 847,847 were not [NONDIAB]. Baseline demographics of DIAB and NONDIAB were clinically similar, except DIAB had higher BMI (32 vs. 28 kg/m2) and RPG (150 vs. 107 mg/dl), and were more likely to have Black race (18% vs. 15%), all pConclusions
RPG levels below the diabetes “diagnostic” range (≥200 mg/dl) provide good discrimination for follow-up diagnosis. Use of such levels–obtained opportunistically, during outpatient visits–could signal the need for further testing, allow preventive intervention in high risk individuals before onset of disease, and lead to earlier identification of diabetes.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0219964（source: https://plos.figshare.com/articles/dataset/Random_plasma_glucose_predicts_the_diagnosis_of_diabetes/8967575）。