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 20 of 168 for “"Risk stratification"”.
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Risk stratification in cardiac surgery: Algorithms and applications
… aims of this research was to compare different risk score algorithms with regard to their validity to predict 30-day and one-year mortality after open-heart surgery, to evaluate if the preoperative risk stratification model EuroSCORE predicts the different components of resource utilization in …
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Prevention of stroke: risk stratification and targeted and novel therapies
… strategies to better identify those at highest risk, attempting to better target pre-existing anti-platelet therapy and by beginning the evaluation of xanthine oxidase reduction and uric acid lowering therapy in the prevention of stroke. A clinical scoring system to aid diagnostic recognition in …
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Risk stratification of ICU patients using arterial blood pressure waveforms
Identifying patients at high risk for adverse events is very important to the practice of clinical medicine. Non-invasive ECG-based methods of risk stratification such as T wave Alterans, Morphological Variability, and Heart Rate Variability extract prognostic information from the …
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The Importance of Risk Stratification and Cardiorespiratory Fitness in Pediatric Obesity
… 95th percentile) were staged according to their risk profile in manuscript one by the Edmonton Obesity Staging System for Pediatrics (EOSS-P) based on metabolic, mechanical, mental and/or family risk factors. Children completed a maximal treadmill test yielding VO2peak data (mlO2/kg/min). …
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Risk stratification by analysis of electrocardiographic morphology following acute coronary syndromes
… an acute coronary syndrome (ACS) are at elevated risk of future adverse events, including fatal arrhythmias or myocardial infarction. Risk stratification--he identification of high-risk patients--s an important step in determining who is most likely to benefit from aggressive treatments. We …
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Improving clinical risk-stratification tools : instance-transfer for selecting relevant training data
One of the primary problems in constructing risk-stratification models for medical applications is that the data are often noisy, incomplete, and suffer from high class-imbalance. This problem becomes more severe when the total amount of data relevant to the task of interest is small. We address …
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Risk stratification in the management of localised prostate cancer treated with radical radiotherapy
… sites, however, commonly employed methods of risk stratification have not changed significantly and certainly have not kept pace with these advances in management. <br/><br/>The hypothesis that underpins this work is that precision medicine will transform prostate cancer therapy. At a …
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Sex-specific computationally generated biomarkers for cardiovascular risk stratification post acute coronary syndrome
… higher mortality rates than men. Determining the risk of future adverse cardiovascular events for women who have previously suffered an ACS is therefore a problem of paramount importance in the field of cardiovascular medicine. The identification of high-risk patient subgroups typically begins …
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A comparison of machine learning methods for risk stratification after acute coronary syndrome
Accurate risk stratification is essential for the proper management of patients after an acute coronary syndrome (ACS). Currently, the most widely accepted metrics for risk stratification are risk scores such as the Thrombolysis in Myocardial Infarction (TIMI) score and Global Registry of Acute …
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A Risk Stratification Model for Adult Patients with Obstructive Sleep Apnea: Development and Evaluation
… disturbances independently of known risk factors, the strength and significance of this association remains unclear. This thesis is comprised of three studies assessing the long term-consequences of OSA, and specifically the prognostic value of OSA-related variables for cardiovascular …
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Risk stratification in patients with heart failure and in patients with implantable cardioverter-defibrillators
… hospitalised with heart failure are at high risk of death in the short term and patients with chronic heart failure in the community are also at a high risk of death in the medium to long term. It is difficult to accurately identify those at a higher risk of death as current methods of risk …
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Enhancing Risk Stratification for Substance Use Disorder, Depression, and Anxiety through Quantitative Predictive Analytics
… this study focuses on predicting individuals at risk for substance use disorder, depression, or anxiety using health plan data. The research utilizes several machine learning algorithms including Logistic Regression, Random Forest, Support Vector Machines (SVM), XGBoost, K-Nearest Neighbors …
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A better FIT: Risk stratification of screening intervals and FIT thresholds in bowel cancer screening
The risk of developing bowel cancer is associated with numerous lifestyle and genetic factors, meaning that individuals with a higher risk gain substantially more from screening than those at low risk. Risk stratification has therefore been suggested to improve the balance of screening harms and …
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CORONARY ARTERY CALCIUM SCORES FOR ATHEROSCLEROTIC CARDIOVASCULAR DISEASE RISK STRATIFICATION IN SMOKERS: MULTI-ETHNIC STUDY OF ATHEROSCLEROSIS
… atherosclerotic cardiovascular disease (ASCVD) risk stratification remains unclear in this high-risk group. We assess this potential in smokers, especially those eligible for LDCT lung cancer screening.
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N-Glycosylation profiles as a risk stratification biomarker for Type II Diabetes Mellitus and its associated factors
… triglycerides (TG) were found to be independent risk factors associated with high SHS after adjusting for age and gender (Study I). SHS score was associated with age, physical inactivity, fasting plasma glucose (FPG), TG and MetS. MetS was associated with increased high branching (HB), …
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Characterisation of clinical and anatomical substrates in risk stratification and management of atrial fibrillation and ischaemic stroke
… changes within the heart and novel pathogenic risk factors involved in this process are still being explored. This doctorate explores the relationship between novel clinical and structural cardiac factors and their association with disease progression and development of adverse cardiovascular …
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Risk stratification of cardiovascular patients using a novel classification tree induction algorithm with non-symmetric entropy measures
Risk stratification allows clinicians to choose treatments consistent with a patient's risk profile. Risk stratification models that integrate information from several risk attributes can aid clinical decision making. One of the technical challenges in developing risk stratification models from …
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Optimising Cardiovascular Disease Risk Assessment: Application of Dynamic Prediction Tools and Risk Stratification Strategies Using Electronic Health Records
… 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 this purpose, numerous prognostic cardiovascular risk prediction models have been …
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Prevalence, characteristics and additional stroke risk stratification: an analysis of the Atrial Fibrillation cohort within the REMEDY study
… stroke. It is also associated with a significant risk of heart failure and mortality. The burden of rheumatic heart disease remains great in the developing world. The prevalence of AF in those with rheumatic heart disease is in the order of 20% with a resultant 17-fold increased risk of embolic …
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