AD-SISCOLO：辅助宫颈癌筛查项目管理的决策支持工具

数据集获取（Figshare）

• 源站标题：AD-SISCOLO: a decision-support tool to aid the management of a cervical cancer screening program
• DOI：10.6084/m9.figshare.6179618.v1
• 发布日期：2018-04-25
• 文件数：6 个
• 文件总体积：741.91 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/AD-SISCOLO_a_decision-support_tool_to_aid_the_management_of_a_cervical_cancer_screening_program/6179618

命令行下载

curl -L -o "2446-4740-reng-2446-474008117-gf01.jpg" "https://ndownloader.figshare.com/files/11191160"
curl -L -o "2446-4740-reng-2446-474008117-gf02.jpg" "https://ndownloader.figshare.com/files/11191175"
curl -L -o "2446-4740-reng-2446-474008117-gf03.jpg" "https://ndownloader.figshare.com/files/11191196"
curl -L -o "2446-4740-reng-2446-474008117-gf04.jpg" "https://ndownloader.figshare.com/files/11191199"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/11191202"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/11191205"

文件清单

• 2446-4740-reng-2446-474008117-gf01.jpg（121.44 KB）
• 2446-4740-reng-2446-474008117-gf02.jpg（151.02 KB）
• 2446-4740-reng-2446-474008117-gf03.jpg（171.09 KB）
• 2446-4740-reng-2446-474008117-gf04.jpg（287.10 KB）
• Table_1.xls（5.63 KB）
• Table_2.xls（5.63 KB）

文件总体积 741.91 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

AbstractIntroduction: This paper aims to develop a data warehouse (AD-SISCOLO) in order to support the management of the cervical cancer screening program in the municipality of Rio de Janeiro/Brazil. As a part of the management process, the program managers of the municipality perform tedious manual work in order to calculate a series of performance indicators and then take decisions based on them. Methods AD-SISCOLO was implemented using the Pentaho BI Suite Business Intelligence Platform and the MySQL database management system. The indicators to be calculated and visualized in the tool were based on the municipal data of the cytopathology and histopathology tests from January 2012 until December 2014, which was obtained from the Information System of Cervical Cancer (SISCOLO) after a record linkage process. The follow-up indicators were based on a simplified version of the Brazilian guidelines for the cervical cancer screening. Results AD-SISCOLO allows the visualization of a set of test-based and follow-up indicators from different views and dimensions, which enable managers to monitor all the phases of the screening process and to identify the process’ failures. Conclusions Compared with the current available environments in Brazil, AD-SISCOLO is unique in its visualization of the follow-up indicators of groups of women, according to their test results and age. Thereby it provides presentation flexibility to suit the program manager’'s needs.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.6179618.v1（source: https://scielo.figshare.com/articles/dataset/AD-SISCOLO_a_decision-support_tool_to_aid_the_management_of_a_cervical_cancer_screening_program/6179618）。