2014年巴西慢性透析普查

数据集获取（Figshare）

• 源站标题：Brazilian Chronic Dialysis Census 2014
• DOI：10.6084/m9.figshare.19963638.v1
• 发布日期：2022-06-02
• 文件数：10 个
• 文件总体积：2.03 MB
• 源站页面：https://scielo.figshare.com/articles/dataset/Brazilian_Chronic_Dialysis_Census_2014/19963638

命令行下载

curl -L -o "dc44806a4cd25975f644045cdde5d700b5cda21e.jpg" "https://ndownloader.figshare.com/files/35533668"
curl -L -o "40d2ec86da1510b19c4f7fa060589b57a74c8d58.jpg" "https://ndownloader.figshare.com/files/35533671"
curl -L -o "9f61e100a30a85f2672c086d05c8018a93346ce7.jpg" "https://ndownloader.figshare.com/files/35533674"
curl -L -o "3bf10881f75af0e4664029626b8f6333e387e178.jpg" "https://ndownloader.figshare.com/files/35533677"
curl -L -o "bc4bc4fcbe51c8753bca931fa93087fd967edb6c.jpg" "https://ndownloader.figshare.com/files/35533680"
curl -L -o "c17d33f49672db853d88a5503b4a5bb97279c151.jpg" "https://ndownloader.figshare.com/files/35533683"
curl -L -o "cefe8196d7416c14d92ade401e714b8029c8ae03.jpg" "https://ndownloader.figshare.com/files/35533686"
curl -L -o "6c341257526a238b14145c5689d86facb86f135e.jpg" "https://ndownloader.figshare.com/files/35533689"

文件清单

• dc44806a4cd25975f644045cdde5d700b5cda21e.jpg（248.91 KB）
• 40d2ec86da1510b19c4f7fa060589b57a74c8d58.jpg（231.52 KB）
• 9f61e100a30a85f2672c086d05c8018a93346ce7.jpg（154.55 KB）
• 3bf10881f75af0e4664029626b8f6333e387e178.jpg（224.17 KB）
• bc4bc4fcbe51c8753bca931fa93087fd967edb6c.jpg（155.73 KB）
• c17d33f49672db853d88a5503b4a5bb97279c151.jpg（249.99 KB）
• cefe8196d7416c14d92ade401e714b8029c8ae03.jpg（230.42 KB）
• 6c341257526a238b14145c5689d86facb86f135e.jpg（152.14 KB）
• a5dcc6e1636e63fd08a975ef8c4663442f12798b.jpg（223.10 KB）
• 052f3dc9b228b207d654086a2b25f98fc76c8a12.jpg（155.07 KB）

文件总体积 2.03 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

Abstract Introduction: National chronic dialysis data have had impact in the treatment planning. Objective: To report data of the annual survey of the Brazilian Society of Nephrology about chronic kidney disease patients on dialysis in July 2014. Methods: A survey based on data of dialysis units from the whole country. The data collection was performed by using a questionnaire filled out on-line by the dialysis units. Results: Three hundred twelve (44%) of the dialysis units in the country answered the questionnaire. In July 2014, the total estimated number of patients on dialysis was 112,004. The estimated prevalence and incidence rates of chronic maintenance dialysis were 552 (range: 364 in the North region and 672 in the Southeast) and 180 patients per million population (pmp), respectively. The annual incidence rate of patients with diabetic nephropathy was 77 pmp. The annual gross mortality rate was 19%. For prevalent patients, 91% were on hemodialysis and 9% on peritoneal dialysis, 32,499 (29%) were on a waiting list of renal transplant, 37% were overweight/obese, 29% were diabetics, 16% had PTH levels > 600 pg/ml and 26% hemoglobin

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.19963638.v1（source: https://scielo.figshare.com/articles/dataset/Brazilian_Chronic_Dialysis_Census_2014/19963638）。