Cardiovascular Diseases Risk Prediction Dataset

# CVDs Risk Prediction Using Personal Lifestyle Factors

### - Check my notebook [here!](https://www.kaggle.com/alphiree/cvds-risk-prediction-notebook-full) 😄
### - Access the web application I created [here!](https://cvd-risk-prediction.streamlit.app/) 🔗

## BRFSS Dataset
The Behavioral Risk Factor Surveillance System (BRFSS) is the nation’s premier system of health-related telephone surveys that collect state data about U.S. residents regarding their health-related risk behaviors, chronic health conditions, and use of preventive services.

## Preprocessing of BRFSS Dataset
I preprocessed and cleaned the BRFSS Dataset. From 304 unique variables, I hand-picked 19 variables that relates to lifestyle factors of a person that can be contributed to being at risk with any form of Cardiovascular Diseases.

## Research Article
You can also read the research article that was published that made use of this dataset.
[Read Here!](https://eajournals.org/ejcsit/vol11-issue-3-2023/integrated-machine-learning-model-for-comprehensive-heart-disease-risk-assessment-based-on-multi-dimensional-health-factors/)

利用个人生活方式因素预测心血管疾病风险的数据集
### - 查看我的笔记本[此处]！[链接](https://www.kaggle.com/alphiree/cvds-risk-prediction-notebook-full) 😄
### - 访问我创建的Web应用[此处]！[链接](https://cvd-risk-prediction.streamlit.app/) 🔗

## BRFSS 数据集
行为风险因素监测系统（Behavioral Risk Factor Surveillance System，简称 BRFSS）是国家首屈一指的健康相关电话调查系统，该系统收集有关美国居民健康相关风险行为、慢性健康状况和预防性服务使用的州级数据。

## BRFSS 数据集的前处理
我已对 BRFSS 数据集进行了预处理和清洗。从304个独特的变量中，我亲手挑选出19个变量，这些变量与个人的生活方式因素相关，这些因素可能导致患有任何形式的心血管疾病的风险。

## 研究论文
您还可以阅读使用此数据集发表的研究论文。
[阅读更多](https://eajournals.org/ejcsit/vol11-issue-3-2023/integrated-machine-learning-model-for-comprehensive-heart-disease-risk-assessment-based-on-multi-dimensional-health-factors/)

搜集汇总

背景与挑战

背景概述

该数据集基于2021年美国CDC的BRFSS调查数据，经过预处理后精选了19个与个人生活方式相关的变量，用于心血管疾病风险预测。数据集包含约30万条记录，涵盖健康状况、运动习惯、疾病史等信息，适用于健康数据分析和机器学习分类任务。