摩托车交通事故中头部损伤的临床评估:一项前瞻性观察研究
包含208名摩托车事故患者的临床评估和头部损伤数据的表格数据集,用于分析CT扫描必要性。

基本信息
资源简介
摩托车交通事故中头部损伤的临床评估:一项前瞻性观察研究
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集,收录 14 个文件、合计 767.39 KB,主题涵盖 Craniocerebral Trauma、Accidents, Traffic、Tomography、Quality Assurance, 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《Clinical assessment of head injuries in motorcyclists involved in traffic accidents: A prospective, observational study》。配套论文《Clinical assessment of head injuries in motorcyclists involved in traffic accidents: A prospective, observational study》发表于 Revista do Colégio Brasileiro de Cirurgiões(2022),DOI:10.1590/0100-6991e-20223340-en。源站首次发布:2022-07-27。
【数据内容】
源站原始描述:ABSTRACT Objective: to review the clinical assessment of head injuries in motorcyclists involved in traffic accidents. Method: prospective observational study, including adult motorcyclists involved in traffic accidents in a period of 12 months. Patients sustaining signs of intoxication were excluded. A modification of the Canadian Head CT Rules was used to indicate computed tomography (CT). Patients not undergoing CT were followed by phone calls for three months. Collected variables were compar…
【数据结构与技术规格】
文件数 14 个,合计 767.39 KB。数据集 DOI:10.6084/m9.figshare.20382349.v1。
【主题与分类】
源站学科分类:Surgery。主题标签:Craniocerebral Trauma、Accidents, Traffic、Tomography、Quality Assurance, Health Care。
【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/Clinical_assessment_of_head_injuries_in_motorcyclists_involved_in_traffic_accidents_A_prospective_observational_study/20382349
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:BELOW, CRISTIANO; BRIANTI, ISABELA CAMPOS; PARREIRA, JOSÉ GUSTAVO; LUCARELLI-ANTUNES, PEDRO DE SOUZA; SAADE, NELSON; GOLIN, MURILO; et al. (2022). Clinical assessment of head injuries in motorcyclists involved in traffic accidents: A prospective, observational study. SciELO journals. Dataset
【使用注意】
· 源站最后修改于 2023-06-16,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:Clinical assessment of head injuries in motorcyclists involved in traffic accidents: A prospective, observational study
- DOI:10.6084/m9.figshare.20382349.v1
- 发布日期:2022-07-27
- 文件数:14 个
- 文件总体积:767.39 KB
- 源站页面:https://scielo.figshare.com/articles/dataset/Clinical_assessment_of_head_injuries_in_motorcyclists_involved_in_traffic_accidents_A_prospective_observational_study/20382349
命令行下载
curl -L -o "50c3a66befbe573166fdf3bc60f480e34e31379c.tif" "https://ndownloader.figshare.com/files/36430945"
curl -L -o "50b7c00ac68ab53b5eaac64e1f12a6ab95e9100f.png" "https://ndownloader.figshare.com/files/36430948"
curl -L -o "1b9cc63768300432efadd4290011b3aec7b1d222.jpg" "https://ndownloader.figshare.com/files/36430951"
curl -L -o "a68adec1ec75d49a06cb68207b391a43bb4423b2.tif" "https://ndownloader.figshare.com/files/36430954"
curl -L -o "ed25202b77198a614fef794678b1047be2ddc883.png" "https://ndownloader.figshare.com/files/36430957"
curl -L -o "91a91bea987fbea9c96bd1cf0376f981230e428e.jpg" "https://ndownloader.figshare.com/files/36430960"
curl -L -o "b478d6e4009c62e18137ed3e63e31d940a2c5057.tif" "https://ndownloader.figshare.com/files/36430963"
curl -L -o "fe51ea4bdfdf7498a6266ed896c118ce2e146811.png" "https://ndownloader.figshare.com/files/36430966"
文件清单
50c3a66befbe573166fdf3bc60f480e34e31379c.tif(185.74 KB)50b7c00ac68ab53b5eaac64e1f12a6ab95e9100f.png(31.25 KB)1b9cc63768300432efadd4290011b3aec7b1d222.jpg(4.84 KB)a68adec1ec75d49a06cb68207b391a43bb4423b2.tif(140.26 KB)ed25202b77198a614fef794678b1047be2ddc883.png(11.56 KB)91a91bea987fbea9c96bd1cf0376f981230e428e.jpg(4.85 KB)b478d6e4009c62e18137ed3e63e31d940a2c5057.tif(189.11 KB)fe51ea4bdfdf7498a6266ed896c118ce2e146811.png(30.86 KB)8977e741a9189763a6590db352641ffd33fbda87.jpg(4.75 KB)2d33bd31367f7e7a3167cd32a6bab3e6f465bc93.tif(137.44 KB)cff5f08464627e189fca1717da692eb470b63e91.png(10.86 KB)bed26c3be70b3987042199eae40b6a05258e95da.jpg(4.61 KB)Table_1.xls(5.63 KB)Table_2.xls(5.63 KB)
文件总体积 767.39 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 review the clinical assessment of head injuries in motorcyclists involved in traffic accidents. Method: prospective observational study, including adult motorcyclists involved in traffic accidents in a period of 12 months. Patients sustaining signs of intoxication were excluded. A modification of the Canadian Head CT Rules was used to indicate computed tomography (CT). Patients not undergoing CT were followed by phone calls for three months. Collected variables were compared between the group sustaining head injuries and the others. We used chi-square, Fisher, and Student’s t for statistical analysis, considering p<0.05 as significant. Results: we included 208 patients, 99.0% were wearing helmets. Seventeen sustained signs of intoxication and were excluded. Ninety (47.1%) underwent CT and 12 (6.3%) sustained head injuries. Head injuries were significantly associated with Glasgow Coma Scale<15 (52.3% vs. 2.8% - p<0,001) and a positive physical exam (17.1% vs. zero - p<0,05). Four (2.1%) patients with intracranial mass lesions needed surgical interventions. None helmet-wearing patients admitted with GCS=15 and normal physical examination sustained head injuries. Conclusion: Head CT is not necessary for helmet-wearing motorcyclists admitted with GCS=15 and normal physical examination.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.20382349.v1(source: https://scielo.figshare.com/articles/dataset/Clinical_assessment_of_head_injuries_in_motorcyclists_involved_in_traffic_accidents_A_prospective_observational_study/20382349)。
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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