早期心脏病预测

数据集获取（Figshare）

• 源站标题：<b>Early Heart Disease Prediction</b>
• DOI：10.6084/m9.figshare.28911449.v2
• 发布日期：2025-06-05
• 文件数：1 个
• 文件总体积：404.34 KB
• 源站页面：https://figshare.com/articles/dataset/_b_Early_Heart_Disease_Prediction_b_/28911449

命令行下载

curl -L -o "Meghavathu Nayak.rar" "https://ndownloader.figshare.com/files/55141991"

文件清单

• Meghavathu Nayak.rar（404.34 KB）

文件总体积 404.34 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

Heart disease, a leading cause of death worldwide, necessitates early detection and treatment, which can be facilitated by accurate predictive models. However, the accuracy and generalizability of predictions are impacted by the difficulties of high dimensionality and data imbalance.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.28911449.v2（source: https://figshare.com/articles/dataset/_b_Early_Heart_Disease_Prediction_b_/28911449）。