肥胖与脓毒症风险全国住院患者研究数据集

数据集获取（Figshare）

• 源站标题：Dataset for Obesity and the Risk of Sepsis, a nation-wide inpatient study
• DOI：10.6084/m9.figshare.2008266.v1
• 发布日期：2015-12-11
• 文件数：1 个
• 文件总体积：105.79 MB
• 源站页面：https://figshare.com/articles/dataset/Dataset_for_Obesity_and_the_Risk_of_Sepsis_a_nation_wide_inpatient_study/2008266

命令行下载

curl -L -o "NIS 10.1 seed323014.dta" "https://ndownloader.figshare.com/files/3576813"

文件清单

• NIS 10.1 seed323014.dta（105.79 MB）

文件总体积 105.79 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

The Nationwide Inpatient Sample (NIS) is part of
the Healthcare Cost and Utilization Project (HCUP), sponsored by the Agency for
Healthcare Research and Quality (AHRQ), formerly the Agency for Health Care
Policy and Research (“HCUP-US NIS
Overview”).
Data are collected annually and made publicly available 2 years afterward. The
NIS 2011 dataset was released in June 2013.Since modelling with multi-level survey data was
complex, we could only use 10% random subsample which accounted for 673,727
hospital discharges

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.2008266.v1（source: https://figshare.com/articles/dataset/Dataset_for_Obesity_and_the_Risk_of_Sepsis_a_nation_wide_inpatient_study/2008266）。