胃裂死亡率数据集(里约热内卢州10年系列)

巴西里约热内卢州2005-2014年胃裂新生儿死亡率及相关因素的回顾性队列数据集,基于活产与死亡信息系统链接构建。

SciELO journalsSciELO journals
DataCite Commons
2021-03-25 更新
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表格GastroschisismortalityMortalitytrendsRisk FactorsHealth Information SystemsTertiary Health CareRetrospective Studies
Mortality from gastroschisis in the state of Rio de Janeiro: a 10-year series

基本信息

模态
表格
大小
0.000101495 GB
许可
CC BY 4.0
创建/更新时间
2021-03-25
版本
v1

资源简介

胃裂死亡率数据集(里约热内卢州10年系列)

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 5 个文件、合计 101.50 KB,主题涵盖 Gastroschisis, mortality、Mortality, trends、Risk Factors、Health Information Systems、Tertiary Health Care,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Mortality from gastroschisis in the state of Rio de Janeiro: a 10-year series》。配套论文《Mortality from gastroschisis in the state of Rio de Janeiro: a 10-year series》发表于 Revista de Saúde Pública(2020),DOI:10.11606/s1518-8787.2020054001757。源站首次发布:2021-03-25。

【数据内容】

源站原始描述:ABSTRACT OBJECTIVE To analyze mortality and associated factors in a series of gastroschisis at birth in the state of Rio de Janeiro in a 10-year period (2005 to 2014). METHOD A retrospective cohort study, which related the databases of the Live Births Information System and the Mortality Information System by probabilistic linkage. Final database was constructed in two stages: preparation of the two initial databases and establishment of relationships between them. RESULTS Preterm newborns and t…

【数据结构与技术规格】

文件数 5 个,合计 101.50 KB。数据集 DOI:10.6084/m9.figshare.14303138.v1。

【主题与分类】

源站学科分类:Sociology、Environmental and Occupational Health and Safety。主题标签:Gastroschisis, mortality、Mortality, trends、Risk Factors、Health Information Systems、Tertiary Health Care、Retrospective Studies。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面:https://scielo.figshare.com/articles/dataset/Mortality_from_gastroschisis_in_the_state_of_Rio_de_Janeiro_a_10-year_series/14303138

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Barreiros, Camilla Ferreira Catarino; Gomes, Maria Auxiliadora de Souza Mendes; Gomes Júnior, Saint Clair dos Santos (2020). Mortality from gastroschisis in the state of Rio de Janeiro: a 10-year series. SciELO journals. Dataset

【使用注意】

· 源站最后修改于 2023-06-03,引用时请注意版本时效。

官方服务

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⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

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下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

暂未开放

公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

免登录

有偿下载

公开数据集受托下载与技术交付服务。

提供高速下载与技术交付服务(收技术服务费,非数据销售)

暂未开放

当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "1518-8787-rsp-54-63-gf01.jpg" "https://ndownloader.figshare.com/files/27196136"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/27196139"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/27196142"
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/27196145"
curl -L -o "Table_4.xls" "https://ndownloader.figshare.com/files/27196148"

文件清单

  • 1518-8787-rsp-54-63-gf01.jpg(70.78 KB)
  • Table_1.xls(5.63 KB)
  • Table_2.xls(9.73 KB)
  • Table_3.xls(9.73 KB)
  • Table_4.xls(5.63 KB)

文件总体积 101.50 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 analyze mortality and associated factors in a series of gastroschisis at birth in the state of Rio de Janeiro in a 10-year period (2005 to 2014). METHOD A retrospective cohort study, which related the databases of the Live Births Information System and the Mortality Information System by probabilistic linkage. Final database was constructed in two stages: preparation of the two initial databases and establishment of relationships between them. RESULTS Preterm newborns and those with low birthweight had higher risk of death, with statistical significance (p = 0.03 and p = 0.006, respectively). Regarding place of birth, although death frequency was higher in maternity units than in general hospitals (p = 0.04; OR = 0.5; 95%CI 0.3–1.0), it was observed that a unit characterized as a general hospital had a high birth frequency (61.2%). Furthermore, the comparative analysis of the risk of death between this unit and others showed a 7.5 higher risk of death in general hospitals and 3.2 higher in maternity units, with statistical significance (p < 0.001). Moreover, births in level II intensive care units had 3.9 times more risk of death compared with level III (p < 0.001). CONCLUSION This study foments the discussion of two possible strategies in the treatment of gastroschisis in newborns. First, the centralization of care in tertiary units, enabling malformation care to be analyzed in a more detailed and standardized manner. Second, and perhaps more feasible, the elaboration of clinical guidelines to standardize immediate care for gastroschisis in babies born outside tertiary centers, as well as the standardization of their transportation until arrival at the tertiary center.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.14303138.v1(source: https://scielo.figshare.com/articles/dataset/Mortality_from_gastroschisis_in_the_state_of_Rio_de_Janeiro_a_10-year_series/14303138)。

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