整合巴西健康信息系统以支持数据仓库构建

数据集获取（Figshare）

• 源站标题：Integrating Brazilian health information systems in order to support the building of data warehouses
• DOI：10.6084/m9.figshare.7517726.v1
• 发布日期：2018-12-26
• 文件数：8 个
• 文件总体积：1.45 MB
• 源站页面：https://scielo.figshare.com/articles/dataset/Integrating_Brazilian_health_information_systems_in_order_to_support_the_building_of_data_warehouses/7517726

命令行下载

curl -L -o "2446-4740-reng-2446-47400666-gf01.jpg" "https://ndownloader.figshare.com/files/13974605"
curl -L -o "2446-4740-reng-2446-47400666-gf02.jpg" "https://ndownloader.figshare.com/files/13974608"
curl -L -o "2446-4740-reng-2446-47400666-gf03.jpg" "https://ndownloader.figshare.com/files/13974611"
curl -L -o "2446-4740-reng-2446-47400666-gf04.jpg" "https://ndownloader.figshare.com/files/13974617"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/13974623"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/13974629"
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/13974635"
curl -L -o "Table_4.xls" "https://ndownloader.figshare.com/files/13974638"

文件清单

• 2446-4740-reng-2446-47400666-gf01.jpg（248.78 KB）
• 2446-4740-reng-2446-47400666-gf02.jpg（461.38 KB）
• 2446-4740-reng-2446-47400666-gf03.jpg（415.50 KB）
• 2446-4740-reng-2446-47400666-gf04.jpg（297.31 KB）
• Table_1.xls（5.63 KB）
• Table_2.xls（5.63 KB）
• Table_3.xls（5.63 KB）
• Table_4.xls（5.63 KB）

文件总体积 1.45 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

AbstractIntroductionThis paper’'s aim is to develop a data warehouse from the integration of the files of three Brazilian health information systems concerned with the production of ambulatory and hospital procedures for cancer care, and cancer mortality. These systems do not have a unique patient identification, which makes their integration difficult even within a single system.MethodsData from the Brazilian Public Hospital Information System (SIH-SUS), the Oncology Module for the Outpatient Information System (APAC-ONCO) and the Mortality Information System (SIM) for the State of Rio de Janeiro, in the period from January 2000 to December 2004 were used. Each of the systems has the monthly data production compiled in dbase files (dbf). All the files pertaining to the same system were then read into a corresponding table in a MySQL Server 5.1. The SIH-SUS and APAC-ONCO tables were linked internally and with one another through record linkage methods. The APAC-ONCO table was linked to the SIM table. Afterwards a data warehouse was built using Pentaho and the MySQL database management system.ResultsThe sensitivities and specificities of the linkage processes were above 95% and close to 100% respectively. The data warehouse provided several analytical views that are accessed through the Pentaho Schema Workbench.ConclusionThis study presented a proposal for the integration of Brazilian Health Systems to support the building of data warehouses and provide information beyond those currently available with the individual systems.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.7517726.v1（source: https://scielo.figshare.com/articles/dataset/Integrating_Brazilian_health_information_systems_in_order_to_support_the_building_of_data_warehouses/7517726）。