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.
Results
Showing 1 to 20 of 86 for “"high-risk patients."”.
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Incorporating Social Determinants of Health Into a Screening Tool Using Machine Learning to Predict Lung Cancer Diagnosis Among High Risk Patients
… models for predicting lung cancer among high risk-patients. Lung cancer is typically diagnosed at a later stage when surival and health outcomes are poor. Screening guidelines are currently in place; however, patients at high risk can be missed. There is a need for short-term predictions, …
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Utilizing data mining techniques and ensemble learning to predict development of surgical site infections in gynecologic cancer patients
<p>Surgical site infections are costly to both patients and hospitals, increase patient mortality, and are the most common form of a hospital acquired infection. Gynecological cancer surgery patients are already at higher risk of developing an infection due to the suppression of their immune …
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Oncogenic Pathways and Molecular Prognostics in Neuroblastoma
… children. Although the overall survival of patients has been improving over the last decades, the high-risk neuroblastoma patients have a survival rate of <50%. Using gene expression microarrays we identify a group of proteins (snoRNPs) whose expression correlates with poor prognosis. We …
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IMPACT OF STRESS CARDIAC COMPUTED TOMOGRAPHY MYOCARDIAL PERFUSION ON DOWNSTREAM RESOURCES AND PROGNOSIS IN PATIENTS WITH SUSPECTED OR KNOWN CORONARY ARTERY DISEASE: A MULTICENTRE INTERNATIONAL STUDY - THE CTP-PRO STUDY
… angiography (cCTA) to improve management of patients with suspected coronary artery disease (CAD). The aim of the study is to evaluate the usefulness of combined evaluation of coronary anatomy and myocardial perfusion in intermediate to high-risk patients for suspected CAD or with known …
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Prevalence of shoulder morbidity after treatment for breast cancer in South Africa
… of baseline demographic and clinical risk factors can guide rehabilitation and management strategies for high risk patients. Materials and Methods: This study was a cross-sectional analysis of the prevalence of shoulder pain and dysfunction in women attending their post-treatment …
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MRI microstructure and morphology enable machine learning-based prediction of freezing of gait in Parkinson’s disease.
… and quality of life. Early identification of high-risk patients may enable targeted intervention, yet few prognostic biomarkers exist. In this thesis, we developed a machine learning classifier to predict FOG onset from baseline structural neuroimaging of 106 de novo PD patients from the …
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Breakdown Risk in Persons with Tuberculosis in a Northern Plains Indian Tribe
… the records of all Class II, HI, IV, and V TB patients on an Indian Reservation in the upper midwest. A chart review was performed in order to determine the prevalence of untreated or incompletely treated high risk patients in the following categories: end-stage renal disease, chronic renal …
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Paediatric cardiac anaesthesia in sickle cell disease : a case series
… significant morbidity and mortality. Paediatric patients with SCD and congenital heart defects may require anaesthesia for corrective cardiac surgery on cardiopulmonary bypass (CPB). During the perioperative period these high-risk patients may suffer significant complications when exposed to the …
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The Primary Prevention: What’s causing the rise in Type 1 diabetes—and can it be stopped?
… begin testing treatments to prevent diabetes in high-risk patients at the “primary” phase when all there is to go on is genetic risk. This thesis discusses the search for environmental determinants of diabetes in the context of a primary prevention clinical trial underway at the Institute for …
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Transitional Care Services: A Nurse-Led Quality Improvement Project
… in implementing transitional care services for patients with heart failure and subsequently decreasing rehospitalizations by 30%, the DNP student and readmission team plan to expand evidence-based practices and interventions to all high-risk patients admitted to St. Mary’s Medical Center, a DH …
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Predicting 30-Day Unplanned ICU Readmissions Using Deep Learning and Natural Language Processing Techniques: A MIMIC IV Data Analysis
… extracted from medical text data consisting of patients’ diagnoses, procedures, and discharge notes and further engineered using several methods, including Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), and word embeddings.</p> <p>We sequentially implement three distinct …
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Lung cancer malignancy predication with recurrent neural networks
Lung cancer has the highest mortality rate among all cancer types in the United States, comprising almost 25% of all cancer deaths. Existing work in computer-aided diagnosis (CAD) has applied convolutional neural networks (CNNs) to detect and classify nodules in CT scans, with the goal of assisting …
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Risk stratification by analysis of electrocardiographic morphology following acute coronary syndromes
Patients who have suffered 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 …
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The effects of mitral annular dynamics, and the laceration of the anterior leaflet with transcatheter mitral valve replacements
High-risk patients in need of a mitral valve replacement created a demand for percutaneous MV interventions. With no dedicated devices currently on the market, clinicians have resorted to placing transcatheter aortic valves (TAV) into mitral annular calcification (Valve-in-MAC), failing mitral …
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Identifying patients at high risk of death with novel computational biomarkers
The accurate assessment of a patient's risk of adverse events remains a mainstay of clinical care for patients with cardiovascular disease. Commonly used risk metrics have traditionally been based on simple models that incorporate various aspects of the medical history, presenting signs and …
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Improving The Reporting And Tracking Of Hospital-Acquired Pressure Injuries
… pressure injuries (HAPIs) affect millions of patients a year, impacting patient safety and creating a significant financial burden for healthcare systems. Inadequate reporting and tracking of HAPIs lead to delays in care, inaccurate data reporting and missed opportunities for quality …
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The Impact of Military Sexual Trauma on Opioid Use Disorder and Related Outcomes in Men and Women Veterans
… concerns, chronic pain diagnoses, and OUD risk. It also informs barriers to receipt of effective OUD treatment and care coordination at VA facilities for these high-risk patients.
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Pediatric Intensive Care Unit Skin-Care Team
… (PICU). Pressure injury prevention was not a high priority for the nursing staff; nurses were unaware of current PI prevention protocols or the PI prevalence in the PICU.<strong> </strong>The goals are to reduce PIs by 20% in 3 months, increase PI nursing education, and improve patient …
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Upper gastrointestinal bleed: a comparative outcomes study of pre and post implementation of management guidelines in the acute care surgery unit, Groote Schuur Hospital
… expert bodies regarding the management of these patients and compliance with these guidelines is variable and is dependent on rigorous implementation and continuous audits. Aim: The primary aim of this study is to evaluate complaints to three aspects of management of UGITB (time of endoscopy ,use …
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