东南亚疑似感染患者qSOFA与乳酸联合死亡预测数据集

结合qSOFA和乳酸评估东南亚疑似感染住院患者败血症死亡风险的床旁预测数据集。

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2022-06-24 更新
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表格SepsisqSOFAsofalactatemortalityInfectious Diseases
Data set - Enhanced bedside mortality prediction combining point-of-care lactate and the quick Sequential Organ Failure Assessment score (qSOFA) in patients hospitalized with suspected infection in southeast Asia.

基本信息

模态
表格
大小
0.000187358 GB
许可
CC BY 4.0
创建/更新时间
2022-06-24
版本
v1

资源简介

东南亚疑似感染患者qSOFA与乳酸联合死亡预测数据集

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 3 个文件、合计 187.36 KB,主题涵盖 Sepsis、qSOFA、sofa、lactate、mortality,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《Data set - Enhanced bedside mortality prediction combining point-of-care lactate and the quick Sequential Organ Failure Assessment score (qSOFA) in patients hospitalized with suspected infection in southeast Asia.》。项目资助方:This work was supported by the US National Institutes of Health (grant numbers T32GM086270, 5K12HD047349, K08HL157562, R01HL113382 and R01AI1377111) and the Wellcome Trust (090219/Z/09/Z and 101103/Z/13/Z).。源站首次发布:2022-06-24。

【数据内容】

源站原始描述:This is a part of prospective observational (non-interventional) study of community-acquired sepsis and severe sepsis in Sunpasithiprasong Hospital, Ubon Ratchathani province, northeast Thailand (NCT02217592; Ubon-sepsis cohort) and a multinational multicentre cross-sectional study for causes and outcomes of sepsis in Southeast Asia (NCT02157259; SEAICRN cohort). The study shows that A rapid, bedside assessment using a score combining qSOFA and lactate can identify patients at risk of sepsis-rel…

【数据结构与技术规格】

文件数 3 个,合计 187.36 KB。Data_qSOFAlactate_UBON_cohort.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,146.48 KB。Data_qSOFAlactate_SEAICRN_cohort.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,30.30 KB。Data_dictionay_qSOFAlactate.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,10.58 KB。数据集 DOI:10.6084/m9.figshare.14938068.v1。

【主题与分类】

源站学科分类:Infectious diseases。主题标签:Sepsis、qSOFA、sofa、lactate、mortality、Infectious Diseases。

【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://figshare.com/articles/dataset/Data_set_-_Enhanced_bedside_mortality_prediction_combining_point-of-care_lactate_and_the_quick_Sequential_Organ_Failure_Assessment_score_qSOFA_in_patients_hospitalized_with_suspected_infection_in_southeast_Asia_/14938068

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

规范引用:Wright, Shelton W.; Hantrakun, Viriya; Rudd, Kristina E.; Lau, Chuen-Yen; Chen, Lie Khie; Van Vinh Chau, Nguyen; et al. (2022). Data set - Enhanced bedside mortality prediction combining point-of-care lactate and the quick Sequential Organ Failure Assessment score (qSOFA) in patients hospitalized wi…

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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。

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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 "Data_qSOFAlactate_UBON_cohort.xlsx" "https://ndownloader.figshare.com/files/28760337"
curl -L -o "Data_qSOFAlactate_SEAICRN_cohort.xlsx" "https://ndownloader.figshare.com/files/28760340"
curl -L -o "Data_dictionay_qSOFAlactate.xlsx" "https://ndownloader.figshare.com/files/28760343"

文件清单

  • Data_qSOFAlactate_UBON_cohort.xlsx(146.48 KB)
  • Data_qSOFAlactate_SEAICRN_cohort.xlsx(30.30 KB)
  • Data_dictionay_qSOFAlactate.xlsx(10.58 KB)

文件总体积 187.36 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

This is a part of prospective observational (non-interventional) study of community-acquired sepsis and severe sepsis in Sunpasithiprasong Hospital, Ubon Ratchathani province, northeast Thailand (NCT02217592; Ubon-sepsis cohort) and a multinational multicentre cross-sectional study for causes and outcomes of sepsis in Southeast Asia (NCT02157259; SEAICRN cohort). The study shows that A rapid, bedside assessment using a score combining qSOFA and lactate can identify patients at risk of sepsis-related mortality and may be useful for early prognostication in resource-limited settings.
The data comprises of 4,980 patients enrolled in the Ubon-sepsis cohort, Thailand and 792 patients enrolled in the SEAICRN cohort. There are three files, the data of Ubon-sepsis cohort, the data of SEAICRN cohort and the data descriptions.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.14938068.v1(source: https://figshare.com/articles/dataset/Data_set_-_Enhanced_bedside_mortality_prediction_combining_point-of-care_lactate_and_the_quick_Sequential_Organ_Failure_Assessment_score_qSOFA_in_patients_hospitalized_with_suspected_infection_in_southeast_Asia_/14938068)。

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