库里蒂巴创伤:大学医院收治受害者的多因素评估

巴西库里蒂巴大学医院创伤患者多因素评估数据集,包含1354名患者的性别、年龄、创伤机制及严重程度评分等表格数据。

Figshare
2020-03-01 更新
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表格EpidemiologyTraumatologyTrauma CentersTrauma Severity Indices
Trauma in Curitiba: multifactorial assessment of victims admitted to a university hospital

基本信息

模态
表格
大小
0.000553117 GB
许可
CC BY 4.0
创建/更新时间
2020-03-01
版本
v1

资源简介

库里蒂巴创伤:大学医院收治受害者的多因素评估

【数据集背景】

本数据集源站标题为《Trauma in Curitiba: multifactorial assessment of victims admitted to a university hospital》。配套论文《Trauma em Curitiba: avaliação multifatorial de vítimas admitidas em um hospital universitário》发表于 Revista do Colégio Brasileiro de Cirurgiões(2020),DOI:10.1590/0100-6991e-20202408。源站首次发布:2021-03-26。

【数据内容】

源站原始描述:ABSTRACT Objective: to describe the epidemiological profile of trauma patients admitted to a referral hospital in Curitiba (PR). Also, to investigate trauma mechanisms and to evaluate trauma severity scores. Methods: descriptive observational cross-sectional study. Data were collected by applying a questionnaire to victims admitted in the emergency room from December 2016 to February 2018. Results: a total of 1354 trauma victims were included in the study, of which 60% were transported by SIATE…

【数据结构与技术规格】

文件数 6 个,合计 553.12 KB。数据集 DOI:10.6084/m9.figshare.14317022.v1。

【主题与分类】

源站学科分类:Surgery。主题标签:Epidemiology、Traumatology、Trauma Centers、Trauma Severity Indices。

【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/Trauma_in_Curitiba_multifactorial_assessment_of_victims_admitted_to_a_university_hospital/14317022

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

规范引用:Guizzo, Willian Augusto; de-Souza, Barbara Seidinger; Weihermann, Viktoria; da-Silva, André Barausse; Jabur, Gabriel Ramos; Menini-Stahlschmidt, Carla Martinez; et al. (2020). Trauma in Curitiba: multifactorial assessment of victims admitted to a university hospital. SciELO journals. Dataset

【使用注意】

· 源站最后修改于 2023-06-06,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 "0100-6991-rcbc-47-e20202408-gf01-en.jpg" "https://ndownloader.figshare.com/files/27253340"
curl -L -o "0100-6991-rcbc-47-e20202408-gf02-en.jpg" "https://ndownloader.figshare.com/files/27253343"
curl -L -o "0100-6991-rcbc-47-e20202408-gf03-en.jpg" "https://ndownloader.figshare.com/files/27253346"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/27253349"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/27253352"
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/27253355"

文件清单

  • 0100-6991-rcbc-47-e20202408-gf01-en.jpg(170.10 KB)
  • 0100-6991-rcbc-47-e20202408-gf02-en.jpg(170.57 KB)
  • 0100-6991-rcbc-47-e20202408-gf03-en.jpg(195.55 KB)
  • Table_1.xls(5.63 KB)
  • Table_2.xls(5.63 KB)
  • Table_3.xls(5.63 KB)

文件总体积 553.12 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 describe the epidemiological profile of trauma patients admitted to a referral hospital in Curitiba (PR). Also, to investigate trauma mechanisms and to evaluate trauma severity scores. Methods: descriptive observational cross-sectional study. Data were collected by applying a questionnaire to victims admitted in the emergency room from December 2016 to February 2018. Results: a total of 1354 trauma victims were included in the study, of which 60% were transported by SIATE and 40% by SAMU. Regarding gender, 70% of the patients were male. The mean age was 39.48 years. About the time and day of the calls, the largest proportion was concentrated on Friday night. In relation to the mechanism of trauma, in patients transported by SIATE, the most frequent in men was motorcycle collision (34.3%), while in women was same-level fall (21.42%). In SAMU, the most frequent mechanism regardless of gender was same-level fall (20.06% and 40.66%, respectively). Analyzing the severity scores, it was observed that 95.5% of the patients were classified as mild by the Glasgow Coma Scale. Conclusion: the profile of trauma victims analyzed in this large study is quite similar to what other national smaller studies have already described: young men victims of traffic accidents. Therefore, the economically active population is the most affected, reflecting in high cost to society.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.14317022.v1(source: https://scielo.figshare.com/articles/dataset/Trauma_in_Curitiba_multifactorial_assessment_of_victims_admitted_to_a_university_hospital/14317022)。

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⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。

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