冠状动脉护理单元可及性影响因素的比值比数据集

该数据集提供影响冠状动脉护理单元可及性的多种因素(年龄、医院特征、医疗状况等)的比值比及置信区间统计表格。

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表格Critical care and emergency medicineepidemiologyCardiovascular disease epidemiologyEnvironmental epidemiologySocial epidemiologyNon-clinical medicineHealth care policyEthnic differencesQuality of careHealth care qualityPublic healthSocioeconomic aspects of health
Odds ratio and 95% confidence interval of access to coronary care units

基本信息

模态
表格
大小
0.00001792 GB
许可
CC BY 4.0
创建/更新时间
2026-10-07
版本
v1

资源简介

冠状动脉护理单元可及性影响因素的比值比数据集

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 17.92 KB,主题涵盖 Critical care and emergency medicine、epidemiology、Cardiovascular disease epidemiology、Environmental epidemiology、Social epidemiology,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《Odds ratio (OR) and 95% confidence interval (CI) of access to coronary care units (CCUs) by age at diagnosis, hospital characteristics, and medical conditions as well as by sex and country of birth.》。配套论文《Likelihood of Treatment in a Coronary Care Unit for a First-Time Myocardial Infarction in Relation to Sex, Country of Birth and Socioeconomic Position in Sweden》发表于 PLoS ONE(2013),DOI:10.1371/journal.pone.0062316。源站首次发布:2013-04-25。

【数据内容】

源站原始描述:γChronic obstructive lung disease. ORs of reference groups were set as 1. All ORs for presence of medical conditions (yes) were compared with absence of the same characteristic (no). All ORs were mutually adjusted for education, age at diagnosis, medical conditions, availability of CCUs, and county of diagnosis when applicable. Bold numbers indicate statistically significant ORs

【数据结构与技术规格】

文件数 1 个,合计 17.92 KB。Table_4.xls:application/vnd.ms-excel,17.92 KB。数据集 DOI:10.1371/journal.pone.0062316.t004。

【主题与分类】

源站学科分类:Medicine。主题标签:Critical care and emergency medicine、epidemiology、Cardiovascular disease epidemiology、Environmental epidemiology、Social epidemiology、Non-clinical medicine、Health care policy、Ethnic differences、Quality of care、Health care quality。

【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://plos.figshare.com/articles/dataset/_Odds_ratio_OR_and_95_confidence_interval_CI_of_access_to_coronary_care_units_CCUs_by_age_at_diagnosis_hospital_characteristics_and_medical_conditions_as_well_as_by_sex_and_country_of_birth_/691378

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

规范引用:Yang, Dong; James, Stefan; de Faire, Ulf; Alfredsson, Lars; Jernberg, Tomas; Moradi, Tahereh (2015). Odds ratio (OR) and 95% confidence interval (CI) of access to coronary care units (CCUs) by age at diagnosis, hospital characteristics, and medical conditions as well as by sex and country of birth..…

【使用注意】

· 源站最后修改于 2023-06-07,引用时请注意版本时效。

官方服务

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从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 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 "Table_4.xls" "https://ndownloader.figshare.com/files/1035727"

文件清单

  • Table_4.xls(17.92 KB)

文件总体积 17.92 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

γChronic obstructive lung disease.
ORs of reference groups were set as 1.
All ORs for presence of medical conditions (yes) were compared with absence of the same characteristic (no).
All ORs were mutually adjusted for education, age at diagnosis, medical conditions, availability of CCUs, and county of diagnosis when applicable.
Bold numbers indicate statistically significant ORs.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0062316.t004(source: https://plos.figshare.com/articles/dataset/_Odds_ratio_OR_and_95_confidence_interval_CI_of_access_to_coronary_care_units_CCUs_by_age_at_diagnosis_hospital_characteristics_and_medical_conditions_as_well_as_by_sex_and_country_of_birth_/691378)。

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。

⚡️ 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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