HAS-BLED评分与膀胱癌根治术出血风险数据集
包含176名膀胱癌根治术患者的术前HAS-BLED评分及临床数据,用于预测术后出血风险。

基本信息
资源简介
HAS-BLED评分与膀胱癌根治术出血风险数据集
【数据集背景】
本数据集源站标题为《HAS-BLED Score and Bleeding Risk in RC: Dataset》。源站首次发布:2025-12-31。
【数据内容】
源站原始描述:Objective To evaluate the predictive value of the preoperative HAS-BLED score in estimating clinically significant blood loss in the course of radical cystectomy (RC). Materials and Methods We retrospectively reviewed 176 patients who underwent RC. Major hemorrhage was defined as a change in hemoglobin level (delta hemoglobin = preoperative hemoglobin level – postoperative hemoglobin level) of ≥4 g/dL, the need for blood transfusion to manage bleeding, or the necessity of early reintervention du…
主表 1.csv 含 40 列、样本前 36 行结构完整。
主表 2.csv 含 39 列、样本前 177 行结构完整。
【数据结构与技术规格】
文件数 2 个,合计 24.80 KB。1.csv:text/csv,4.62 KB。2.csv:text/csv,20.18 KB。数据集 DOI:10.6084/m9.figshare.30978580.v1。
【主题与分类】
源站学科分类:Solid tumours、Cancer diagnosis。主题标签:HAS-BLED score、Radical Cystectomy、Postoperative Hemorrhage。
【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。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。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/HAS-BLED_Score_and_Bleeding_Risk_in_RC_Dataset/30978580
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Yorulmaz, Enis (2025). HAS-BLED Score and Bleeding Risk in RC: Dataset. figshare. Dataset
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:HAS-BLED Score and Bleeding Risk in RC: Dataset
- DOI:10.6084/m9.figshare.30978580.v1
- 发布日期:2025-12-31
- 文件数:2 个
- 文件总体积:24.80 KB
- 源站页面:https://figshare.com/articles/dataset/HAS-BLED_Score_and_Bleeding_Risk_in_RC_Dataset/30978580
命令行下载
curl -L -o "1.csv" "https://ndownloader.figshare.com/files/60722698"
curl -L -o "2.csv" "https://ndownloader.figshare.com/files/60722701"
文件清单
1.csv(4.62 KB)2.csv(20.18 KB)
文件总体积 24.80 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
Objective To evaluate the predictive value of the preoperative HAS-BLED score in estimating clinically significant blood loss in the course of radical cystectomy (RC). Materials and Methods We retrospectively reviewed 176 patients who underwent RC. Major hemorrhage was defined as a change in hemoglobin level (delta hemoglobin = preoperative hemoglobin level – postoperative hemoglobin level) of ≥4 g/dL, the need for blood transfusion to manage bleeding, or the necessity of early reintervention due to postoperative hemorrhage or related complications within 14 days. HAS-BLED scores were calculated preoperatively. Univariable and multivariable logistic regression analyses were performed to identify independent predictors. ROC analysis was used to assess the discriminative ability of the HAS-BLED score. Results Major postoperative bleeding occurred in 22 patients (12.5%). Bleeding patients had significantly higher HAS-BLED scores compared to those without bleeding (p < 0.001). Each 1-point increase in the HAS-BLED score tripled the odds of bleeding (OR: 3.01, 95% CI: 1.83–4.93). Multivariable analysis identified hypertension, renal or hepatic dysfunction, and history of stroke as independent risk factors. ROC analysis showed an AUC of 0.796, and the Youden-optimal cut-off was 2.5, corresponding to a clinical threshold of ≥3. In a subgroup of patients on anticoagulants (n = 35), 40% experienced bleeding, and HAS-BLED remained predictive (OR: 2.02, p = 0.045). Conclusion The HAS-BLED score effectively predicts clinically meaningful bleeding after RC and may aid in preoperative risk stratification. A threshold of ≥3 appears suitable for identifying high-risk patients, particularly in those on anticoagulant therapy.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.30978580.v1(source: https://figshare.com/articles/dataset/HAS-BLED_Score_and_Bleeding_Risk_in_RC_Dataset/30978580)。
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。
⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。




