Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"Cardiovascular Risk Prediction"”.
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Blood Pressure, Arterial Stiffness and Cardiovascular Risk Prediction
… is an important, unmet need to improve current cardiovascular (CV) disease risk prediction algorithms, allowing better stratification models for disease prevention and, ultimately, a personalised medicine approach. This is particularly important for ‘moderate risk’ individuals, where relatively …
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Biomarkers of Cardiovascular Disease in Renal Transplant Recipients
Background:<br/>Cardiovascular disease is a leading cause of premature mortality in renal transplant recipients. Predicting the risk of future cardiovascular events in this patient cohort is challenging due to the prevalence of non-traditional risk factors. Biomarkers of cardiovascular disease have …
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Myocardial injury after non-cardiac surgery: A prevalence study
… has recently been identified as an independent risk factor associated with 30-day all-cause mortality. The risk of death increases approximately 10 fold following MINS in the perioperative period. Diagnosing myocardial injury in nonsurgical patients often relies on specific symptomatology and …
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Adiposity measures and risk of cardiovascular disease
… of body fat and body fat distribution to the risk of cardiovascular disease remains unclear. This thesis aims to investigate associations of body-mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WHR) with risk of first-onset cardiovascular disease under a range of different …
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Optimising Cardiovascular Disease Risk Assessment: Application of Dynamic Prediction Tools and Risk Stratification Strategies Using Electronic Health Records
Cardiovascular diseases (CVDs) remain the leading cause of morbidity and mortality worldwide. Identifying individuals who are at higher risk of CVD is fundamental for effectively implementing prevention strategies with limited health care resources and subsequently reducing the burden of CVD. For …
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Predicting Personalized Pathological Risks and Dynamics in Cardiology - How to Exploit Data-Driven Approaches in Clinical Decision Support Systems
L'abstract è presente nell'allegato / the abstract is in the attachment