基于医院记录和潜在生命损失年数的癌症死亡率批判性回顾

数据集获取（Figshare）

• 源站标题：Critical review of cancer mortality using hospital records and potential years of life lost
• DOI：10.6084/m9.figshare.6179639.v1
• 发布日期：2018-04-25
• 文件数：5 个
• 文件总体积：395.83 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/Critical_review_of_cancer_mortality_using_hospital_records_and_potential_years_of_life_lost/6179639

命令行下载

curl -L -o "1679-4508-eins-16-01-eAO4018-gf01.jpg" "https://ndownloader.figshare.com/files/11191265"
curl -L -o "1679-4508-eins-16-01-eAO4018-gf02.jpg" "https://ndownloader.figshare.com/files/11191277"
curl -L -o "1679-4508-eins-16-01-eAO4018-gf03.jpg" "https://ndownloader.figshare.com/files/11191286"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/11191289"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/11191295"

文件清单

• 1679-4508-eins-16-01-eAO4018-gf01.jpg（126.83 KB）
• 1679-4508-eins-16-01-eAO4018-gf02.jpg（179.43 KB）
• 1679-4508-eins-16-01-eAO4018-gf03.jpg（66.02 KB）
• Table_1.xls（13.82 KB）
• Table_2.xls（9.73 KB）

文件总体积 395.83 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

ABSTRACT Objective To determine and discuss cancer mortality rates in southern Brazil between 1988 and 2012. Methods This was a critical review of literature based on analysis of data concerning incidence and mortality of prostate cancer, breast cancer, bronchial and lung cancer, and uterine and ovarian cancer. Data were collected from the online database of the Brazil Instituto Nacional de Câncer José Alencar Gomes da Silva. Results The southern Brazil is the leading region of cancer incidence and mortality. Data on the cancer profile of this population are scarce especially in the States of Santa Catarina and Paraná. We observed inconsistency between data from hospital registers and death recorded. Conclusion Both cancer incidence and the mortality are high in Brazil. In addition, Brazil has great numbers of registers and deaths for cancer compared to worldwide rates. Regional risk factors might explain the high cancer rates.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.6179639.v1（source: https://scielo.figshare.com/articles/dataset/Critical_review_of_cancer_mortality_using_hospital_records_and_potential_years_of_life_lost/6179639）。