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资源简介：
Predictors of large myocardial infarct.
应用场景：
创建时间：
2019-02-08
相关数据集
Atherosclerosis Dataset
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，
arXiv210
Univariate analysis for predictors of major adverse cardiovascular events.
ACS: acute coronary syndrome; hsCRP: high sensitivity C-reactive protein; LVEF: left ventricular ejection fraction. Univariate analysis for predictors of major adverse cardiovascular events.
NIAID Data Ecosystem90
Evaluation results for prediction of MACE on STEMI dataset (%).
Evaluation results for prediction of MACE on STEMI dataset (%).
Figshare2021-06-11 更新40
Multivariate associations of the rs7069102 in SIRT1 gene with the risk of MI by further stratification for age.
Pc, Bonferroni corrected P; NS, not significant. a Adjusted for sex, BMI, smoking, drinking, hypertension, diabetes and hyperlipidemia. bPc values under 0.05 were indicated in bold font. Multivariate
NIAID Data Ecosystem100
The separate associations that exist for incident myocardial infarction, heart failure and ischemic stroke with the echocardiographic variables and two cardiac biomarkers.
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70
