Defining Representativeness Heuristic in Trauma Triage Data File
2010-2014年UPMC非创伤中心中重度损伤患者的分诊代表性启发法研究数据,包含ICD-9转换评分及初次就诊记录编码。

基本信息
资源简介
Defining Representativeness Heuristic in Trauma Triage Data File
【数据集背景】
项目资助方:DP2 LM012339。源站首次发布:2018-11-19。
【数据内容】
源站原始描述:This is the data set used to define the representativeness heuristic in trauma triage. We performed a retrospective observational cohort study of moderate-to-severely injured patients who presented to non-trauma centers at UPMC from 2010-2014. We identified these patients using a validated algorithm to converted ICD-9 discharge codes into Abbreviated Injury Scale scores and Injury Severity Scores. We then abstracted initial encounter notes from the UPMC medical record for these patients and code…
主表 Defining the Representativeness Heuristic in Trauma Triage.csv 含 182 列、样本前 1792 行结构完整。
【数据结构与技术规格】
文件数 1 个,合计 1.47 MB。Defining the Representativeness Heuristic in Trauma Triage.csv:text/plain,1.47 MB。数据集 DOI:10.6084/m9.figshare.7359527.v1。
【主题与分类】
源站学科分类:Health care administration。主题标签:trauma、triage、representativeness、heuristic、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。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://figshare.com/articles/dataset/Defining_Representativeness_Heuristic_in_Trauma_Triage_Data_File/7359527
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Kulkarni, Shreyus; Dewitt, Barry; R Rosengart, Matthew; Fischhoff, Baruch; C Angus, Derek; M. Yealy, Donald; et al. (2018). Defining Representativeness Heuristic in Trauma Triage Data File. figshare. Dataset
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:Defining Representativeness Heuristic in Trauma Triage Data File
- DOI:10.6084/m9.figshare.7359527.v1
- 发布日期:2018-11-19
- 文件数:1 个
- 文件总体积:1.47 MB
- 源站页面:https://figshare.com/articles/dataset/Defining_Representativeness_Heuristic_in_Trauma_Triage_Data_File/7359527
命令行下载
curl -L -o "Defining the Representativeness Heuristic in Trauma Triage.csv" "https://ndownloader.figshare.com/files/13599545"
文件清单
Defining the Representativeness Heuristic in Trauma Triage.csv(1.47 MB)
文件总体积 1.47 MB(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
This is the data set used to define the representativeness heuristic in trauma triage. We performed a retrospective observational cohort study of moderate-to-severely injured patients who presented to non-trauma centers at UPMC from 2010-2014. We identified these patients using a validated algorithm to converted ICD-9 discharge codes into Abbreviated Injury Scale scores and Injury Severity Scores. We then abstracted initial encounter notes from the UPMC medical record for these patients and coded them for evidence of “representative” characteristics. We looked for differences in the presence of these characteristics by injury subgroups in between patients who were appropriately transferred to a trauma center and those who were not. We then performed a multi-variate logistic regression with random effects for hospital to identify the effect of having any representative characteristics at all on odds of transfer while adjusting for other covariates.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.7359527.v1(source: https://figshare.com/articles/dataset/Defining_Representativeness_Heuristic_in_Trauma_Triage_Data_File/7359527)。
数据缺失?
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