心血管疾病数据集
用于分析心血管疾病风险因素并构建预测模型的表格数据集。

基本信息
资源简介
心血管疾病数据集
【数据集背景】
本数据集源站标题为《Jen-uis/Cardiovascular-Disease-Dataset》。源站首次发布:2024-05-23。
【数据内容】
源站原始描述:This repository contains project materials for the Winter STAT 232 class, University of California, Riverside, A. Gary Anderson School of Management. # Cardiovascular-Disease-Dataset This repository contains project materials for the Winter STAT 232 class, University of California, Riverside, A. Gary Anderson School of Management. ## Introduction For those who are new to this folder, the `Project-Code.Rmd`, `Project-Code.html`, and `Project-Code.Rproj` files are our main coding files. This proje…
【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://github.com/Jen-uis/Cardiovascular-Disease-Dataset
使用许可:MIT。
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
git clone https://github.com/Jen-uis/Cardiovascular-Disease-Dataset.git
curl -L -o repo.zip https://github.com/Jen-uis/Cardiovascular-Disease-Dataset/archive/refs/heads/main.zip
unzip repo.zip
源站 README 摘录(使用方式)
Cardiovascular-Disease-Dataset
This repository contains project materials for the Winter STAT 232 class, University of California, Riverside, A. Gary Anderson School of Management.
Introduction
For those who are new to this folder, the Project-Code.Rmd, Project-Code.html, and Project-Code.Rproj files are our main coding files. This project is completed using R Markdown in R Studio. The data is originally obtained from Kaggle.com, link will be attached below. Feel free to explore more options beyond this analysis report.
Project Idea
This project focuses on analyzing a cardiovascular disease dataset to develop predictive models that can identify individuals at risk of developing cardiovascular diseases. Using various data analysis and machine learning techniques, we aim to uncover significant patterns and risk factors associated with cardiovascular conditions. The project involves data preprocessing, exploratory data analysis, feature selection, and model training and evaluation. The ultimate goal is to create a reliable prediction model that can aid healthcare providers in early detection and prevention of cardiovascular diseases, ultimately contributing to better patient outcomes and public health strategies.
Contents
Project-Code.Rmd: This contains the R Markdown code which contains most of our analysis coding.Project-Code.html: HTML export of the R Markdown file for easy reading.Final-Report.docs: Documents which reports our finding and analysis during the project.Data Folder: Contains the datasets used for analysis. This dataset is uploaded by Svetlana Ulianova. Disclaimer: The data is obtained from Kaggle.com Cardiovascular Disease Dataset. All data are used for educational purposes only. Do not republish Ulianova’'s work without approval. License: Data files are copyrighted by the original authors
License
This project is licensed under the MIT License. See the LICENSE file for more details.
Contributing
This project had been finished at March 2024, no changes shall be made to this main repository. No edits will be approved.
Contact
If you have any questions or need further information, please contact our team at: connectnathaniel@gmail.com
Authors:
- Nathaniel Zhu
- Ankit Malhotra
- Hong Che
数据加载示例(表格/文本类)
import pandas as pd, glob, os
files = (glob.glob(os.path.join(path, "**", "*.csv"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.tsv"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.xlsx"), recursive=True))
print("数据文件:", files)
df = pd.read_csv(files[0])
print(df.shape); print(df.columns.tolist()); print(df.head(3))
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。




