首页/数据集/Raw data-Machine Learning Framework to Identify Individuals at Risk of Rapid Progression of Coronary Atherosclerosis: From the PARADIGM Registry

Raw data-Machine Learning Framework to Identify Individuals at Risk of Rapid Progression of Coronary Atherosclerosis: From the PARADIGM Registry

NIAID Data Ecosystem2026-03-12 收录

血管疾病风险预测

动脉粥样硬化检测

数据链接：

https://data.mendeley.com/datasets/gs8p8zrj6r 数据链接链接失效反馈

官方服务：

资源简介：

research data of the work

应用场景：

创建时间：

2021-04-14

血管疾病风险预测

科学机器学习

This repository provides the anonymized dataset and documentation used in the study on heart disease risk prediction. The data are derived from the Framingham Heart Study and have been preprocessed fo

Zenodo2025-12-18 更新100

U-shaped relationship between serum phosphate and cardiovascular risk: A retrospective cohort study

血管疾病风险预测

血清磷酸盐生物标志物

BackgroundHigh serum phosphate is associated with coronary artery disease in patients with normal and impaired renal function. We asked: Does the serum phosphate range provide prediction of primary ca

Figshare2017-11-09 更新60

S1 Data -

血管疾病风险预测

出生因素与成年健康关联

Background Early life factors may predict cardiovascular disease (CVD), but the pathways are still unclear. There is emerging evidence of an association of early life factors with apolipoproteins, whi

NIAID Data Ecosystem30

Replication Data for: Competing-Risk-Aware Cardiovascular Risk Estimation in Older Chinese Adults: A 9-Year Longitudinal Cohort

血管疾病风险预测

竞争风险

This repository provides code, derived data, and tabulated outputs for competing-risk analysis and cardiovascular risk prediction in older Chinese adults using the China Health and Retirement Longitud

NIAID Data Ecosystem60

Logistic regression analysis model of different CAD risk factors.

血管疾病风险预测

医学统计建模

Note: CAD, coronary artery disease; CI, confidence interval; HDL-C, high density lipoprotein cholesterol; hs-CRP, high-sensitivity C-reactive protein; LDL-C, low-density lipoprotein cholesterol; OR, o

NIAID Data Ecosystem40

Raw data-Machine Learning Framework to Identify Individuals at Risk of Rapid Progression of Coronary Atherosclerosis: From the PARADIGM Registry

资源简介：

相关数据集