亚马逊地区血管创伤——远距离的挑战
亚马逊地区血管创伤患者的回顾性医疗记录数据集,分析受伤地点至医院的远距离与不良结局(死亡、截肢等)的关联。

基本信息
资源简介
亚马逊地区血管创伤——远距离的挑战
【数据集背景】
本数据集源站标题为《Vascular trauma in the Amazon - the challenge of great distances》。配套论文《Vascular trauma in the Amazon - the challenge of great distances》发表于 Revista do Colégio Brasileiro de Cirurgiões(2015),DOI:10.1590/0100-69912015004009。源站首次发布:2021-03-26。
【数据内容】
源站原始描述:ABSTRACTObjective:to evaluate the incidence of unfavorable outcomes in vascular trauma patients and their possible correlation to the distance between the city where the injury was sustained and the hospital where the patient received definitive treatment.Methods:descriptive and retrospective study. Data were collected from medical records of patients submitted to surgical procedures for arterial or venous injuries from February 2011 to February 2013 at the only trauma center providing vascular…
【数据结构与技术规格】
文件数 7 个,合计 237.69 KB。数据集 DOI:10.6084/m9.figshare.14316958.v1。
【主题与分类】
源站学科分类:Surgery。主题标签:External Causes、Wounds and Injuries、Vascular System Injuries、Blood vessels、Ulnar Artery。
【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/Vascular_trauma_in_the_Amazon_-_the_challenge_of_great_distances/14316958
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:GÓES JUNIOR, ADENAUER MARINHO DE OLIVEIRA; RODRIGUES, ALLAN DIAS VASCONCELOS; BRAGA, FÁBIO BRITO; ANDRADE, MARISETH CARVALHO DE; ABIB, SIMONE DE CAMPOS VIEIRA (2015). Vascular trauma in the Amazon - the challenge of great distances. SciELO journals. Dataset
【使用注意】
· 源站最后修改于 2023-06-02,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:Vascular trauma in the Amazon - the challenge of great distances
- DOI:10.6084/m9.figshare.14316958.v1
- 发布日期:2021-03-26
- 文件数:7 个
- 文件总体积:237.69 KB
- 源站页面:https://scielo.figshare.com/articles/dataset/Vascular_trauma_in_the_Amazon_-_the_challenge_of_great_distances/14316958
命令行下载
curl -L -o "0100-6991-rcbc-42-04-00244-gt01.jpg" "https://ndownloader.figshare.com/files/27253012"
curl -L -o "0100-6991-rcbc-42-04-00244-gt02.jpg" "https://ndownloader.figshare.com/files/27253015"
curl -L -o "0100-6991-rcbc-42-04-00244-gt03.jpg" "https://ndownloader.figshare.com/files/27253018"
curl -L -o "0100-6991-rcbc-42-04-00244-gt04.jpg" "https://ndownloader.figshare.com/files/27253021"
curl -L -o "0100-6991-rcbc-42-04-00244-gt05.jpg" "https://ndownloader.figshare.com/files/27253024"
curl -L -o "0100-6991-rcbc-42-04-00244-gt06.jpg" "https://ndownloader.figshare.com/files/27253027"
curl -L -o "0100-6991-rcbc-42-04-00244-gt07.jpg" "https://ndownloader.figshare.com/files/27253030"
文件清单
0100-6991-rcbc-42-04-00244-gt01.jpg(30.69 KB)0100-6991-rcbc-42-04-00244-gt02.jpg(47.13 KB)0100-6991-rcbc-42-04-00244-gt03.jpg(32.69 KB)0100-6991-rcbc-42-04-00244-gt04.jpg(32.84 KB)0100-6991-rcbc-42-04-00244-gt05.jpg(47.30 KB)0100-6991-rcbc-42-04-00244-gt06.jpg(23.76 KB)0100-6991-rcbc-42-04-00244-gt07.jpg(23.28 KB)
文件总体积 237.69 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
ABSTRACTObjective:to evaluate the incidence of unfavorable outcomes in vascular trauma patients and their possible correlation to the distance between the city where the injury was sustained and the hospital where the patient received definitive treatment.Methods:descriptive and retrospective study. Data were collected from medical records of patients submitted to surgical procedures for arterial or venous injuries from February 2011 to February 2013 at the only trauma center providing vascular surgery in a vast area of the Amazon region. Trauma date, patient gender and age, mechanism and anatomic topography of injury, surgical management, need for surgical re-intervention, hospitalization period, postoperative complications, mortality and limb amputation rates were analyzed. The incidence of unfavorable outcomes was assessed according to the distance between the city where the vascular injury was sustained and the trauma center.Results: One hundred seventy-three patients with 255 vascular injuries were analyzed; 95.95% were male (p<0.05), mean age of 28.92 years; 47.4% were caused by firearm projectiles (p<0.05); topographic distribution: 45.66% lower limbs (p<0.05), 37.57% upper limbs, 6.94% abdominal, 5.2% thoracic and 4.62% were cervical vascular injuries; 51.42% of patients required hospitalization for seven days or less (p<0.05); limb amputation was necessary in 15.6% and the overall mortality was 6.36%.Conclusion:distances greater than 200Km were associated to longer hospitalization period; distances greater than 300Km were associated to increased limb amputation probability; severe vascular trauma have an increased death probability when patients need to travel more than 200Km for surgical treatment.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.14316958.v1(source: https://scielo.figshare.com/articles/dataset/Vascular_trauma_in_the_Amazon_-_the_challenge_of_great_distances/14316958)。
数据缺失?
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