数据表1_老年2型糖尿病合并心力衰竭患者30天再入院风险预测模型的开发与验证：多中心回顾性研究
老年2型糖尿病合并心力衰竭患者30天再入院风险预测模型开发与验证研究的补充数据表（Data Sheet 1）。
基本信息
资源简介
数据表1_老年2型糖尿病合并心力衰竭患者30天再入院风险预测模型的开发与验证：多中心回顾性研究
【一句话概览】
本数据集是 figshare 公开的文本数据集，收录 1 个文件、合计 1.22 MB，主题涵盖 type 2 diabetes mellitus、heart failure、30-day readmission、prediction model、electronic medical records，可用于医学自然语言处理（实体识别、信息抽取等），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 Sheet 1_Development and validation of a risk prediction model for 30-day readmission in elderly type 2 diabetes patients complicated with heart failure: a multicenter, retrospective study.docx》。配套论文《Pharmacological treatment of type 2 diabetes in elderly patients with heart failure: randomized trials and beyond》发表于 Heart Failure Reviews（2021），DOI：10.1007/s10741-021-10182-x。源站首次发布：2025-02-27。
【数据内容】
源站原始描述：BackgroundElderly type 2 diabetes mellitus (T2DM) patients complicated with heart failure (HF) exhibit a high rate of 30-day readmission. Predictive models have been suggested as tools for identifying high-risk patients. Thus, we aimed to develop and validate a predictive model using multicenter electronic medical records (EMRs) data to estimate the risk of 30-day readmission in elderly T2DM patients complicated with HF. MethodsEMRs data of elderly T2DM patients complicated with HF from five ter…
中文译文（机器翻译，仅供快速理解，请以原文为准）：背景：老年2型糖尿病（T2DM）合并心力衰竭（HF）患者的30天再入院率较高。预测模型已被建议作为识别高风险患者的工具。因此，我们旨在利用多中心电子病历（EMRs）数据开发并验证一个预测模型，以评估老年T2DM合并HF患者30天再入院的风险。 方法：利用来自五家三级医院2012年至2023年老年T2DM合并HF患者的EMRs数据，开发并验证30天再入院模型。采用留出法数据，通过受试者工作特征曲线下面积（AUROC）、校准曲线、决策曲线分析（DCA）和临床影响曲线（CIC）对模型进行评价。 结果：共纳入1899例患者，其中推导队列、内部验证队列和外部验证队列分别为955例、409例和535例。肺部感染（比值比[OR]：3.816，95%置信区间[CI]：2.377-6.128，P 开发了一个30天再入院风险预测模型并进行了外部验证。该模型有助于针对老年T2DM合并HF且早期再入院高风险的患者进行干预。
【数据结构与技术规格】
文件数 1 个，合计 1.22 MB。Data Sheet 1_Development and validation of a risk prediction model for 30-day readmission in elderly type 2 diabetes patients complicated with heart f.docx：application/vnd.openxmlformats-officedocument.wordprocessingml.document，1.22 MB。数据集 DOI：10.3389/fendo.2025.1534516.s001。
【主题与分类】
源站学科分类：Cell Metabolism。主题标签：type 2 diabetes mellitus、heart failure、30-day readmission、prediction model、electronic medical records。
【适用方向】
文本类数据可用于医学自然语言处理，如命名实体识别、信息抽取与文本分类。
【获取与许可】
源站页面：https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Development_and_validation_of_a_risk_prediction_model_for_30-day_readmission_in_elderly_type_2_diabetes_patients_complicated_with_heart_failure_a_multicenter_retrospective_study_docx/28503110
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：He, Yuxin; Yuan, Yuan; Tan, Qingzhu; Zhang, Xiao; Liu, Yunyu; Xiao, Minglun (2025). Data Sheet 1_Development and validation of a risk prediction model for 30-day readmission in elderly type 2 diabetes patients complicated with heart failure: a multicenter, retrospective study.docx. Frontiers. Datase…
下载信息
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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：Data Sheet 1_Development and validation of a risk prediction model for 30-day readmission in elderly type 2 diabetes patients complicated with heart failure: a multicenter, retrospective study.docx
- DOI：10.3389/fendo.2025.1534516.s001
- 发布日期：2025-02-27
- 文件数：1 个
- 文件总体积：1.22 MB
- 源站页面：https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Development_and_validation_of_a_risk_prediction_model_for_30-day_readmission_in_elderly_type_2_diabetes_patients_complicated_with_heart_failure_a_multicenter_retrospective_study_docx/28503110
命令行下载
curl -L -o "Data Sheet 1_Development and validation of a risk prediction model for 30-day readmission in elderly type 2 diabetes patients complicated with heart f.docx" "https://ndownloader.figshare.com/files/52647722"
文件清单
Data Sheet 1_Development and validation of a risk prediction model for 30-day readmission in elderly type 2 diabetes patients complicated with heart f.docx（1.22 MB）
文件总体积 1.22 MB（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
BackgroundElderly type 2 diabetes mellitus (T2DM) patients complicated with heart failure (HF) exhibit a high rate of 30-day readmission. Predictive models have been suggested as tools for identifying high-risk patients. Thus, we aimed to develop and validate a predictive model using multicenter electronic medical records (EMRs) data to estimate the risk of 30-day readmission in elderly T2DM patients complicated with HF.
MethodsEMRs data of elderly T2DM patients complicated with HF from five tertiary hospitals, spanning 2012 to 2023, were utilized to develop and validate the 30-day readmission model. The model were evaluated using holdout data with the area under the receiver operating characteristic curve (AUROC), calibration curves, decision curve analysis (DCA), and clinical impact curves (CIC).
ResultsA total of 1899 patients were included, with 955, 409, and 535 in the derivation, internal validation, and external validation cohorts, respectively. Pulmonary infections (odds ratio [OR]: 3.816, 95% confidence interval [CI]: 2.377-6.128, P A 30-day readmission risk prediction model was developed and externally validated. This model facilitates the targeting of interventions for elderly T2DM patients complicated with HF who are at high risk of an early readmission.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fendo.2025.1534516.s001（source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Development_and_validation_of_a_risk_prediction_model_for_30-day_readmission_in_elderly_type_2_diabetes_patients_complicated_with_heart_failure_a_multicenter_retrospective_study_docx/28503110）。
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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