住院时间相关因素数据集

缺血性卒中患者住院时间影响因素数据集,包含2804例患者临床数据,涵盖病房等级、付费方式、卒中严重程度、合并症等变量。

NIAID Data Ecosystem
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表格subgroup analysis showedelevated blood pressure86 &# 821182 &# 821179 &# 821173 &# 821144 &# 821129 &# 821104 &# 821103 &# 8211retrospective cohort studyincluding ward class
Factors related to length of stay in hospital.

基本信息

模态
表格
大小
0.000013824 GB
许可
CC BY 4.0
创建/更新时间
2026-10-08
版本
v1

资源简介

住院时间相关因素数据集

【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 13.82 KB,主题涵盖 subgroup analysis showed、elevated blood pressure、86 &# 8211、82 &# 8211、79 &# 8211,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《Factors related to length of stay in hospital.》。配套论文《Determinants of hospital length of stay in ischemic stroke patients: A retrospective cohort study at Indonesian national stroke center》发表于 PLOS One(2025),DOI:10.1371/journal.pone.0334355。源站首次发布:2025-11-14。

【数据内容】

源站原始描述:Background Stroke is a major cause of death and disability, with prolonged hospitalization driving up healthcare costs. This study investigated factors influencing length of stay (LOS) in ischemic stroke patients at a leading Indonesian stroke center. Methods A retrospective cohort study was conducted on 2,804 ischemic stroke patients admitted in 2020. Univariable and multivariable zero truncated negative binomial regression analyses were performed using R Statistical Software (v4.5.1) to identi…

【数据结构与技术规格】

文件数 1 个,合计 13.82 KB。Table 2.xls:application/vnd.ms-excel,13.82 KB。数据集 DOI:10.1371/journal.pone.0334355.t002。

【主题与分类】

源站学科分类:Medicine、Neuroscience、Biotechnology、Developmental Biology、Marine Biology、Infectious Diseases。主题标签:subgroup analysis showed、elevated blood pressure、86 &# 8211、82 &# 8211、79 &# 8211、73 &# 8211、44 &# 8211、29 &# 8211、04 &# 8211、03 &# 8211。

【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/Factors_related_to_length_of_stay_in_hospital_/30622019

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

规范引用:Bustami, Mursyid; Idaiani, Sri; Putri, Nadira Deanda; Satyagraha, Ari Winasti; Panjaitan, Novaria Sari Dewi; Ritonga, Anna Mardiana; et al. (2025). Factors related to length of stay in hospital.. PLOS ONE. 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。

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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 2.xls" "https://ndownloader.figshare.com/files/59567471"

文件清单

  • Table 2.xls(13.82 KB)

文件总体积 13.82 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

Background
Stroke is a major cause of death and disability, with prolonged hospitalization driving up healthcare costs. This study investigated factors influencing length of stay (LOS) in ischemic stroke patients at a leading Indonesian stroke center.
Methods
A retrospective cohort study was conducted on 2,804 ischemic stroke patients admitted in 2020. Univariable and multivariable zero truncated negative binomial regression analyses were performed using R Statistical Software (v4.5.1) to identify factors significantly associated with LOS.
Results
The study population had a mean age of 61.3 years (SD ± 11.4), with a predominance of male patients (63.5%). The average length of LOS was 5.1 days (SD ± 3.4). Several factors were significantly associated with LOS, including ward class (hospital ward class II: 0.91 IRR, 95% CI:0.86–0.97; VIP class: 0.87 IRR, 95%CI:0.79–0.96), payment method (private/co-share: 1.13 IRR, 95%CI:1.03–1.25; out-of-pocket: 1.19 IRR, 95%CI:1.09–1.30), and stroke severity (moderate: 1.16 IRR, 95%CI:1.11–1.21; severe: 1.56 IRR, 95%CI:1.44–1.69). Additionally, elevated blood pressure (0.85 IRR, 95%CI:0.73–0.98), stage 1 hypertension (0.90 IRR, 95%CI:0.82–0.99), diabetes mellitus (1.09 IRR, 95%CI:1.04–1.15), dyslipidemia (0.95 IRR, 95%CI:0.90–0.999), all at admission, and cardiovascular disease (CVD) history (1.24 IRR, 95%CI:1.19–1.29), hospital complications (1.99 IRR, 95%CI:1.87–2.12), and therapeutic interventions (1.38 IRR, 95%CI:1.29–1.48) were also significantly linked to LOS. A subgroup analysis showed that CVD history, hospital complications, and therapeutic interventions during hospitalization were significantly linked to the LOS across all levels of stroke severity.
Conclusion
CVD history, hospital complications, and therapeutic interventions significantly influenced LOS across stroke severities. Early intervention, complication prevention, and equitable care are essential to shorten hospitalization, reduce costs, and improve outcomes in Indonesian stroke patients.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0334355.t002(source: https://plos.figshare.com/articles/dataset/Factors_related_to_length_of_stay_in_hospital_/30622019)。

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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