IDI and NRI for the prediction of ACS events by adding either ACSP75 or ACSCP scores to a basal model based on Framingham 10-year cardiovascular disease risk prediction scores (FCVRS).

NIAID Data Ecosystem20

Table_1_Dietary diversity associated with risk of cardiovascular diseases among community-dwelling older people: A national health examination survey from Thailand.DOCX

营养流行病学

血管疾病风险预测

BackgroundCardiovascular diseases (CVD) are the common comorbidities in older people. Healthy diet is an essential strategy to alleviate the risk of developing CVD. Dietary diversity (DD) is an indica

NIAID Data Ecosystem10

Longitudinal Genome-Wide Association of Cardiovascular Disease Risk Factors in the Bogalusa Heart Study

纵向研究

血管疾病风险预测

Cardiovascular disease (CVD) is the leading cause of death worldwide. Recent genome-wide association (GWA) studies have pinpointed many loci associated with CVD risk factors in adults. It is unclear,

NIAID Data Ecosystem20

Data_Sheet_2_Evaluating the Risk of Paroxysmal Atrial Fibrillation in Noncardioembolic Ischemic Stroke Using Artificial Intelligence-Enabled ECG Algorithm.xlsx

血管疾病风险预测

心电图分析

BackgroundThe identification of latent atrial fibrillation (AF) in patients with ischemic stroke (IS) attributed to noncardioembolic etiology may have therapeutic implications. An artificial intellige

NIAID Data Ecosystem20

Prediction probability of CVD and division of risk level.

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