Weights assigned to the TIMI variables by the five ChatGPT-4 models.

Figshare2024-04-16 更新2026-04-28 收录

数据链接：

https://figshare.com/articles/dataset/Weights_assigned_to_the_TIMI_variables_by_the_five_ChatGPT-4_models_/25618664 数据链接链接失效反馈

官方服务：

资源简介：

Weights assigned to the TIMI variables by the five ChatGPT-4 models.

创建时间：

2024-04-16

Effects of body fatness and physical activity on cardiovascular risk: risk prediction using the bioelectrical impedance method

心脑血管风险预测

生物电阻抗

Effects of body fatness and physical activity on cardiovascular risk: risk prediction using the bioelectrical impedance method

Global Health Data Exchange ()40

Comparison of self-perceived cardiovascular disease risk among smokers with Framingham and PROCAM scores: a cross-sectional analysis of baseline data from a randomised controlled trial

心脑血管风险预测

吸烟行为干预

Objectives: Previous studies suggest that smokers have a misperception of their 10-year cardiovascular risk. We aimed to compare 10-year cardiovascular risk self-perception and calculated risk among s

DataONE2020-06-24 更新30

Relationships between standardised atheroma scores by region and common carotid intima media thickness (CIMT) and rest ankle-brachial pressure index (ABPI).

动脉粥样硬化评估

心脑血管风险预测

The ABPI values used for this analysis are the higher of the two lower limb measurements. * Adjusted model accounts for all factors with a p>0.3 in the univariate analysis. Thus the model was adjusted

NIAID Data Ecosystem30

Association between the serum uric acid-to-creatinine ratio and cardiovascular mortality in maintenance hemodialysis patients

血液透析预后

心脑血管风险预测

Uric acid is a risk factor for death in hemodialysis patients, but its exact role is still unclear. The serum uric acid-to-serum creatinine (SUA/SCr) ratio is a new indicator. This study aimed to clar

DataCite Commons2025-05-26 更新30

Reassessing lipid metabolism and its potentialities in the prediction of cardiovascular risk

心脑血管风险预测

脂质生物标志物

There are numerous particles, enzymes, and mechanisms in the lipid metabolism that are involved in the genesis of cardiovascular disease (CVD). Given its prevalence in populations and its impact on mo

NIAID Data Ecosystem30

Weights assigned to the TIMI variables by the five ChatGPT-4 models.

资源简介：

相关数据集