心力衰竭患者两年预后预测特征数据集

Name: 心力衰竭患者两年预后预测特征数据集
Creator: Karel Labr
License: CC BY 4.0

包含心力衰竭患者特征与两年预后（死亡、移植、LVAD植入）的表格数据，用于单变量逻辑回归预测建模。

Karel Labr

Figshare

2021-07-30 更新

表格NYHAHFrEFheart failure patientsTwo-year all-cause mortalityLVEFprognostic valueHFNT-proBNPEFEPheart failure hospitalizationSiemens Healthcare Diagnostics

Patient characteristics as predictors of the primary endpoint in the univariable logistic regression models (i.e., the two-year prognosis in terms of all-cause mortality, heart transplantation and left ventricular assist device [LVAD] implantation)

基本信息

模态

表格

大小

0.000009728 GB

许可

CC BY 4.0

创建/更新时间

2021-07-30

版本

资源简介

心力衰竭患者两年预后预测特征数据集

【数据集背景】

本数据集源站标题为《Patient characteristics as predictors of the primary endpoint in the univariable logistic regression models (i.e., the two-year prognosis in terms of all-cause mortality, heart transplantation and left ventricular assist device [LVAD] implantation).》。源站首次发布：2021-07-30。

【数据内容】

源站原始描述：Patient characteristics as predictors of the primary endpoint in the univariable logistic regression models (i.e., the two-year prognosis in terms of all-cause mortality, heart transplantation and left ventricular assist device [LVAD] implantation)

【数据结构与技术规格】

文件数 1 个，合计 9.73 KB。Table 3.xls：application/vnd.ms-excel，9.73 KB。数据集 DOI：10.1371/journal.pone.0255271.t003。

【主题与分类】

源站学科分类：Medicine、Genetics、Molecular Biology、Mathematical Sciences not elsewhere classified、Developmental Biology、Cancer。主题标签：NYHA、HFrEF、heart failure patients、Two-year all-cause mortality、LVEF、prognostic value、HF、NT-proBNP、EF、EP。

【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/Patient_characteristics_as_predictors_of_the_primary_endpoint_in_the_univariable_logistic_regression_models_i_e_the_two-year_prognosis_in_terms_of_all-cause_mortality_heart_transplantation_and_left_ventricular_assist_device_LVAD_implantatio/15083121

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

规范引用：Lokaj, Petr; Spinar, Jindrich; Spinarova, Lenka; Malek, Filip; Ludka, Ondrej; Krejci, Jan; et al. (2021). Patient characteristics as predictors of the primary endpoint in the univariable logistic regression models (i.e., the two-year prognosis in terms of all-cause mortality, heart transplantation a…

【使用注意】

· 源站最后修改于 2023-06-07，引用时请注意版本时效。

原始链接

https://figshare.com/articles/dataset/Patient_characteristics_as_predictors_of_the_primary_endpoint_in_the_univariable_logistic_regression_models_i_e_the_two-year_prognosis_in_terms_of_all-cause_mortality_heart_transplantation_and_left_ventricular_assist_device_LVAD_implantatio/15083121

访问原始数据

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

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。

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使用方式

数据集获取（Figshare）

源站标题：Patient characteristics as predictors of the primary endpoint in the univariable logistic regression models (i.e., the two-year prognosis in terms of all-cause mortality, heart transplantation and left ventricular assist device [LVAD] implantation).
DOI：10.1371/journal.pone.0255271.t003
发布日期：2021-07-30
文件数：1 个
文件总体积：9.73 KB
源站页面：https://plos.figshare.com/articles/dataset/Patient_characteristics_as_predictors_of_the_primary_endpoint_in_the_univariable_logistic_regression_models_i_e_the_two-year_prognosis_in_terms_of_all-cause_mortality_heart_transplantation_and_left_ventricular_assist_device_LVAD_implantatio/15083121

命令行下载

curl -L -o "Table 3.xls" "https://ndownloader.figshare.com/files/29001324"

文件清单

Table 3.xls（9.73 KB）

文件总体积 9.73 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

Patient characteristics as predictors of the primary endpoint in the univariable logistic regression models (i.e., the two-year prognosis in terms of all-cause mortality, heart transplantation and left ventricular assist device [LVAD] implantation).