里约热内卢创伤中心数据集
评估里约热内卢州公立医院创伤中心的数据集,包含患者入院流程、护理原因、住院时间等指标,用于分析创伤护理模式成效。

基本信息
资源简介
里约热内卢创伤中心数据集
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集,收录 4 个文件、合计 518.14 KB,主题涵盖 Emergency medicine、External causes、Wounds and injuries、Traumas center、Evaluation,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《Trauma Center: alternative model of trauma care in the state of Rio de Janeiro》。配套论文《Centro de Trauma: modelo alternativo de atendimento às causas externas no estado do Rio de Janeiro》发表于 Saúde em Debate(2017),DOI:10.1590/0103-1104201711220。源站首次发布:2021-03-23。
【数据内容】
源站原始描述:ABSTRACT The objective was to evaluate the Trauma Center of a public hospital in the state of Rio de Janeiro. As methodology the service was observed and indicators were analyzed, including: eligibility criteria; established procedures of service; number and causes of care; and length of stay. The service met the recommended protocols. The mean hospital stay was 11.4 days, similar to the rest of the network, despite the highly complex profile. Seventy-nine percent of the patients were from the p…
【数据结构与技术规格】
文件数 4 个,合计 518.14 KB。数据集 DOI:10.6084/m9.figshare.14271540.v1。
【主题与分类】
源站学科分类:Health Care Administration、Health Policy。主题标签:Emergency medicine、External causes、Wounds and injuries、Traumas center、Evaluation。
【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_Center_alternative_model_of_trauma_care_in_the_state_of_Rio_de_Janeiro/14271540
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Silveira, Elvis da Silva; O''Dwyer, Gisele (2017). Trauma Center: alternative model of trauma care in the state of Rio de Janeiro. SciELO journals. Dataset
【使用注意】
· 源站最后修改于 2023-06-11,引用时请注意版本时效。
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)
- 源站标题:Trauma Center: alternative model of trauma care in the state of Rio de Janeiro
- DOI:10.6084/m9.figshare.14271540.v1
- 发布日期:2021-03-23
- 文件数:4 个
- 文件总体积:518.14 KB
- 源站页面:https://scielo.figshare.com/articles/dataset/Trauma_Center_alternative_model_of_trauma_care_in_the_state_of_Rio_de_Janeiro/14271540
命令行下载
curl -L -o "0103-1104-sdeb-41-112-0243-gf01-en.jpg" "https://ndownloader.figshare.com/files/27069252"
curl -L -o "0103-1104-sdeb-41-112-0243-gf02-en.jpg" "https://ndownloader.figshare.com/files/27069255"
curl -L -o "0103-1104-sdeb-41-112-0243-gf03-en.jpg" "https://ndownloader.figshare.com/files/27069258"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/27069261"
文件清单
0103-1104-sdeb-41-112-0243-gf01-en.jpg(167.77 KB)0103-1104-sdeb-41-112-0243-gf02-en.jpg(160.27 KB)0103-1104-sdeb-41-112-0243-gf03-en.jpg(184.47 KB)Table_1.xls(5.63 KB)
文件总体积 518.14 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 The objective was to evaluate the Trauma Center of a public hospital in the state of Rio de Janeiro. As methodology the service was observed and indicators were analyzed, including: eligibility criteria; established procedures of service; number and causes of care; and length of stay. The service met the recommended protocols. The mean hospital stay was 11.4 days, similar to the rest of the network, despite the highly complex profile. Seventy-nine percent of the patients were from the prehospital setting and 54.97% were from traffic accidents. The mortality was 4.5%. The Trauma Center fulfilled goals and it is expected that the experience from this center will contribute to the construction of a state policy for trauma care.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.14271540.v1(source: https://scielo.figshare.com/articles/dataset/Trauma_Center_alternative_model_of_trauma_care_in_the_state_of_Rio_de_Janeiro/14271540)。
数据缺失?
依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。
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