再插管求和计算:危重患者拔管失败预测评分表_表格3
基于ICU患者临床变量开发并验证的再插管预测评分(RISC)表格数据,用于识别拔管失败高风险患者。

基本信息
资源简介
再插管求和计算:危重患者拔管失败预测评分表_表格3
【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 14.81 KB,主题涵盖 critical care medicine、extubation failure、intensive care unit、mechanical ventilation、reintubation,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《Table_3_Reintubation Summation Calculation: A Predictive Score for Extubation Failure in Critically Ill Patients.docx》。配套论文《Implications of Extubation Delay in Brain-Injured Patients Meeting Standard Weaning Criteria》发表于 American Journal of Respiratory and Critical Care Medicine(2000),DOI:10.1164/ajrccm.161.5.9905102。源站首次发布:2022-02-17。
【数据内容】
源站原始描述:ObjectiveTo derive and validate a multivariate risk score for the prediction of respiratory failure after extubation. Patients and methodsWe performed a retrospective cohort study of adult patients admitted to the intensive care unit from January 1, 2006, to December 31, 2015, who received mechanical ventilation for ≥48 h. Extubation failure was defined as the need for reintubation within 72 h after extubation. Multivariate logistic regression model coefficient estimates generated the Re-Intubat…
【数据结构与技术规格】
文件数 1 个,合计 14.81 KB。Table_3_Reintubation Summation Calculation: A Predictive Score for Extubation Failure in Critically Ill Patients.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,14.81 KB。数据集 DOI:10.3389/fmed.2021.789440.s003。
【主题与分类】
源站学科分类:Radiology and Organ Imaging、Foetal Development and Medicine、Obstetrics and Gynaecology、Primary Health Care、Medical and Health Sciences not elsewhere classified、Dermatology。主题标签:critical care medicine、extubation failure、intensive care unit、mechanical ventilation、reintubation、predictive modeling、prediction scale。
【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://frontiersin.figshare.com/articles/dataset/Table_3_Reintubation_Summation_Calculation_A_Predictive_Score_for_Extubation_Failure_in_Critically_Ill_Patients_docx/19186277
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Bansal, Vikas; Smischney, Nathan J.; Kashyap, Rahul; Li, Zhuo; Marquez, Alberto; Diedrich, Daniel A.; et al. (2022). Table_3_Reintubation Summation Calculation: A Predictive Score for Extubation Failure in Critically Ill Patients.docx. Frontiers. Dataset
【使用注意】
· 源站最后修改于 2023-06-16,引用时请注意版本时效。
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:Table_3_Reintubation Summation Calculation: A Predictive Score for Extubation Failure in Critically Ill Patients.docx
- DOI:10.3389/fmed.2021.789440.s003
- 发布日期:2022-02-17
- 文件数:1 个
- 文件总体积:14.81 KB
- 源站页面:https://frontiersin.figshare.com/articles/dataset/Table_3_Reintubation_Summation_Calculation_A_Predictive_Score_for_Extubation_Failure_in_Critically_Ill_Patients_docx/19186277
命令行下载
curl -L -o "Table_3_Reintubation Summation Calculation: A Predictive Score for Extubation Failure in Critically Ill Patients.docx" "https://ndownloader.figshare.com/files/34089209"
文件清单
Table_3_Reintubation Summation Calculation: A Predictive Score for Extubation Failure in Critically Ill Patients.docx(14.81 KB)
文件总体积 14.81 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
ObjectiveTo derive and validate a multivariate risk score for the prediction of respiratory failure after extubation.
Patients and methodsWe performed a retrospective cohort study of adult patients admitted to the intensive care unit from January 1, 2006, to December 31, 2015, who received mechanical ventilation for ≥48 h. Extubation failure was defined as the need for reintubation within 72 h after extubation. Multivariate logistic regression model coefficient estimates generated the Re-Intubation Summation Calculation (RISC) score.
ResultsThe 6,161 included patients were randomly divided into 2 sets: derivation (n = 3,080) and validation (n = 3,081). Predictors of extubation failure in the derivation set included body mass index 2 [odds ratio (OR), 1.91; 95% CI, 1.12–3.26; P = 0.02], threshold of Glasgow Coma Scale of at least 10 (OR, 1.68; 95% CI, 1.31–2.16; P 2O (OR, 2.11; 95% CI, 1.68–2.66; P RISC predicts extubation failure in mechanically ventilated patients in the intensive care unit using several clinically relevant variables available in the electronic medical record but requires a larger validation cohort before widespread clinical implementation.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fmed.2021.789440.s003(source: https://frontiersin.figshare.com/articles/dataset/Table_3_Reintubation_Summation_Calculation_A_Predictive_Score_for_Extubation_Failure_in_Critically_Ill_Patients_docx/19186277)。
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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