نمایش نتایج جستجو برای
نویسنده: رعنا کلاهی اهری
موارد یافت شده: 7
1 - Development of Data Mining Algorithms for Identifying the Best Anthropometric Predictors for Cardiovascular Disease: MASHAD Cohort Study (چکیده)2 - Serum uric acid to high‐density lipoprotein ratio as a novel indicator of inflammation is correlated with the presence and severity of metabolic syndrome: A large‐scale study (چکیده)
3 - Association of high-sensitivity C-reactive protein and hematologic-inflammatory indices with risk of cardiovascular diseases: a population-based study with partial least squares structural equation modeling approach (چکیده)
4 - White blood cell and platelet distribution widths are associated with hypertension: data mining approaches (چکیده)
5 - Serum Zinc and Copper Concentrations and Dyslipidemia as Risk Factors of Cardiovascular Disease in Adults: Data Mining Techniques (چکیده)
6 - Association of atherosclerosis indices, serum uric acid to high‐density lipoprotein cholesterol ratio and triglycerides‐glucose index with hypertension: A gender‐disaggregated analysis (چکیده)
7 - Prediction of cardiovascular disease risk by serum zinc and copper concentrations and anthropometric measurements (چکیده)
