患者性别基础特征数据集

基于脓毒症患者性别基础特征的事件日志数据集,用于医疗公平性分析。

NIAID Data Ecosystem
浏览 9
时间序列using event logsmethod allows usicu )focusingmeasure health inequitiesprecisely measure equityintensive care unitenglish language proficiencyhealth equity measureshealth care outcomesprocess mining frameworkmultiple treatment stepshealth equity
Baseline characteristics of patient sex.

基本信息

模态
时间序列
大小
0.000005632 GB
许可
CC BY 4.0
创建/更新时间
2026-10-07
版本
v1

资源简介

患者性别基础特征数据集

【一句话概览】

本数据集是 figshare 公开的时序数据集,收录 1 个文件、合计 5.63 KB,主题涵盖 using event logs、method allows us、icu ), focusing、measure health inequities、precisely measure equity,可用于疾病进展预测与生理信号时序建模,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Baseline characteristics of patient sex.》。源站首次发布:2024-08-28。

【数据内容】

源站原始描述:In the United States, there is a proposal to link hospital Medicare payments with health equity measures, signaling a need to precisely measure equity in healthcare delivery. Despite significant research demonstrating disparities in health care outcomes and access, there is a noticeable gap in tools available to assess health equity across various health conditions and treatments. The available tools often focus on a single area of patient care, such as medication delivery, but fail to examine t…

【数据结构与技术规格】

文件数 1 个,合计 5.63 KB。Table 1.xls:application/vnd.ms-excel,5.63 KB。数据集 DOI:10.1371/journal.pdig.0000575.t001。

【主题与分类】

源站学科分类:Medicine、Biotechnology、Biological Sciences not elsewhere classified、Cancer、Science Policy、Infectious Diseases。主题标签:using event logs、method allows us、icu ), focusing、measure health inequities、precisely measure equity、intensive care unit、english language proficiency、health equity measures、health care outcomes、process mining framework。

【适用方向】

时序数据适用于疾病进展预测、生理信号监测与事件发生的时序建模。

【获取与许可】

源站页面:https://plos.figshare.com/articles/dataset/Baseline_characteristics_of_patient_sex_/26863991

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

规范引用:Adams, Jan Niklas; Ziegler, Jennifer; McDermott, Matthew; Douglas, Molly J.; Eber, René; Gichoya, Judy Wawira; et al. (2024). Baseline characteristics of patient sex.. PLOS Digital Health. Dataset

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

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。

帮我联系

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 1.xls" "https://ndownloader.figshare.com/files/48859166"

文件清单

  • Table 1.xls(5.63 KB)

文件总体积 5.63 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

In the United States, there is a proposal to link hospital Medicare payments with health equity measures, signaling a need to precisely measure equity in healthcare delivery. Despite significant research demonstrating disparities in health care outcomes and access, there is a noticeable gap in tools available to assess health equity across various health conditions and treatments. The available tools often focus on a single area of patient care, such as medication delivery, but fail to examine the entire health care process. The objective of this study is to propose a process mining framework to provide a comprehensive view of health equity. Using event logs which track all actions during patient care, this method allows us to look at disparities in single and multiple treatment steps, but also in the broader strategy of treatment delivery. We have applied this framework to the management of patients with sepsis in the Intensive Care Unit (ICU), focusing on sex and English language proficiency. We found no significant differences between treatments of male and female patients. However, for patients who don’t speak English, there was a notable delay in starting their treatment, even though their illness was just as severe and subsequent treatments were similar. This framework subsumes existing individual approaches to measure health inequities and offers a comprehensive approach to pinpoint and delve into healthcare disparities, providing a valuable tool for research and policy-making aiming at more equitable healthcare.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pdig.0000575.t001(source: https://plos.figshare.com/articles/dataset/Baseline_characteristics_of_patient_sex_/26863991)。

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。

获取专属数据定制方案