ML for Predicting Cardiovascular Risk from Lifesty

kaggle2024-05-30 更新2024-06-01 收录

心血管疾病预测

机器学习健康风险评估

数据链接：

https://www.kaggle.com/datasets/paulogomesbueno/imagem-dvc 数据链接链接失效反馈

官方服务：

资源简介：

Machine Learning Algorithms for Predicting Cardiovascular Disease Risk

用于预测心血管疾病风险的机器学习算法

创建时间：

2024-05-30

Atherosclerosis Dataset

心血管疾病预测

风险评估

该数据集源自一项为期二十年的研究，该研究旨在分析1419名中年男性群体中动脉粥样硬化的危险因素，并将研究对象分为正常、风险和病理三个组别。数据特征包括收缩压、三酰甘油、总胆固醇、舒张压、体重指数、体重、胆结石、酒精摄入量和烟草消耗量等。在预测阴性风险实例上，该数据集达到了0.68的F1分数，在预测阳性风险实例上，F1分数高达0.91。该数据集涉及1419名患者，任务是对动脉粥样硬化的风险进行预测，

arXiv150

Vascular Ultrasound Data during Enhanced External Counterpulsation for Predicting Coronary Artery Disease

心血管疾病预测

胎儿超声影像分析

There are thousands of pictures of blood flow spectrum curves in carotid and brachial artery. So we only listed one person's carotid artery and brachial artery blood flow ultrasound images before, dur

IEEE50

The separate associations that exist for incident myocardial infarction, heart failure and ischemic stroke with the echocardiographic variables and two cardiac biomarkers.

心血管疾病预测

生物标志物分析

The separate associations that exist for incident myocardial infarction, heart failure and ischemic stroke with the echocardiographic variables and two cardiac biomarkers.

Figshare2022-07-25 更新30

Prediction of left ventricle systolic dysfunction in mice using gene expression profiling

基因表达分析

心血管疾病预测

We tested the hypothesis that a set of differentially expressed genes could be used to predict cardiovascular phenotype in mice after prolonged catecholamine stress. Keywords: Treatment We observed t

NIAID Data Ecosystem50

Multivariable regression models for LA parameters.

心血管疾病预测

左心房参数建模

Multivariable regression models for LA parameters.

Figshare2017-10-03 更新40