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资源简介：
Hypertension Data Set
应用场景：
创建时间：
2024-11-07
相关数据集
Performance of the four machine-learning models for PIH prediction.
Performance of the four machine-learning models for PIH prediction.
NIAID Data Ecosystem70
Predictive accuracy of first trimester maternal plasma C19MC microRNA markers combination for the diagnosis of gestational hypertension.
AUC: area under the curve, ROC: receiver operating characteristic; PPV: positive predictive value; NPV: negative predictive value. Predictive accuracy of first trimester maternal plasma C19MC microRNA
NIAID Data Ecosystem60
Table_4_Associations between novel anthropometric measures and the prevalence of hypertension among 45,853 adults: A cross-sectional study.DOCX
AimsTraditional anthropometric measures, including body mass index (BMI), are insufficient for evaluating the risk of hypertension. We aimed to investigate the association between novel anthropometric
NIAID Data Ecosystem40
Comparing predictive power of corresponding systolic and diastolic measures.
G—general; M—mixed; H—hypertensive; HD—hypertensive, diabetes; SD—standard deviation; ARV—average real variability; RR—relative risk. Relative risks were scaled to the same increase except Pierdomenic
NIAID Data Ecosystem60
Linear regression analysis for systolic and diastolic blood pressure.
Legend. SBP – systolic blood pressure; DBP – diastolic blood pressure; HDL – high-density-lipoprotein; LDL – low-density-lipoprotein.
NIAID Data Ecosystem40
