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 162 for “"disease diagnosis"”.
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Lung disease diagnosis from gene expression profiles
Lung diseases include some of the most widespread and deadly conditions known to affect people in the US today. One of the main challenges in treating lung disease is the difficulty of diagnosis. Clinical diagnosis remains largely dependent upon symptomatic-based diagnoses; many cases can be either …
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Few Shot Learning for Rare Disease Diagnosis
Rare diseases affect 300-400 million people worldwide, yet each disease has very low prevalence, affecting no more than 50 per 100,000 individuals. Many patients with rare genetic conditions remain undiagnosed due to clinicians' lack of experience with the individual diseases and the considerable …
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Multimodal Learning for Disease Diagnosis and Progression Modeling
<p>Accurate diagnosis and progression modeling of Alzheimer’s Disease (AD) are critical for effective intervention, disease monitoring, and patient care. Traditional approaches rely on a single modality, such as clinical assessments, neuroimaging, or genetic markers, but may fail in capturing the …
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A Machine Learning Classifiers Approach for Cardiovascular Disease Diagnosis
… can play to help diagnose cardiovascular disease. The computing power and technology available to humans has helped in the development of the application of computers in cardiology. With this development comes a redundancy of some data. When there is a large amount of data as input …
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Covid-19 (Coronavirus) Disease Diagnosis Using Fuzzy Inference System
… aims to diagnose the coronavirus (COVID-19) diseases symptoms using an Intelligent Systems approach. The COVID-19 epidemic is currently one of the most deadly diseases in the world. The pandemic has affected human life and global economy adversely at a large scale. It is spreading rapidly …
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Multimodal Optical Imaging for Tissue Characterization and Disease Diagnosis
… forms of cancer. Of this broad group of disease, ovarian and esophageal cancer are particularly deadly, with five-year survival rates of less than 50% and 20% respectively. The primary cause of this low survival rate is due to predominantly late diagnosis. Diagnosis at early stages leads …
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A Deep Learning Approach to Automated Coeliac Disease Diagnosis
Coeliac disease (CD) is a small intestinal autoimmune disorder triggered by the consumption of gluten. Manifestations are variable and non-specific, ranging from no symptoms, through fatigue, diarrhoea, and vomiting, and, in rare cases, lymphoma and duodenal cancer. The treatment consists of a …
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Fuzzy Decision Tree-based Inference System for Liver Disease Diagnosis
<p>Medical diagnosis can be challenging because of a number of factors. Uncertainty in the diagnosis process arises from inaccuracy in the measurement of patient attributes, missing attribute data and limitation in the medical expert’s ability to define cause and effect relationships when there are …
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A clinical Raman spectroscopy system for real-time disease diagnosis
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
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Predicting Kidney Transplantation Using Prior Disease Diagnosis From Medicare Claims Data
… diabetes, hypertension and end stage renal disease were strong indicators of potential kidney transplantation using claims data alone. My conclusion is that medical claims data can be used in place of clinical data when clinical data is not available or does not exist.</p>
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Celiac Disease Diagnosis Among Primary Care Nurse Practitioners: A Quality Improvement Project
INTRODUCTION: Celiac disease (CD), an inflammatory condition of the small bowel, is now recognized as the most common of the autoimmune disorders (Kenrick & Day, 2014). Unfortunately, due to poor awareness among primary care providers (PCPs) this disease remains highly underdiagnosed despite its …
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Advanced Machine Learning Techniques for Biomarker Discovery and Disease Diagnosis Using Metabolomic Data
… approaches enable the identification of disease-related biomarkers and support the development of personalized interventions. Yet, the complexity, heterogeneity, and high dimensionality of omics data pose major analytical challenges, requiring advanced computational tools to fully unlock …
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Cystic fibrosis in South Africa: spectrum of disease, diagnosis, and determinants of outcome
… sub-optimal quality of CF care, and limited CF diagnosis capacity continue to exist in most LMIC, including South Africa (SA). CF treatment and prognosis have been transformed by the recent introduction of highly effective cystic fibrosis transmembrane conductance regulator modulator drugs …
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Development of a Smartphone Based Point of Care Device for Multiplexed Infectious Disease Diagnosis
Infectious diseases are responsible for a significant portion of mortality and morbidity in the developing world, whose spread can be better controlled by using accurate diagnostic and epidemiological tools. Wireless multiplex point of care diagnostic devices can address the drawbacks of current …
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Molecule transport in nanopores with applications to water purification, power generation and disease diagnosis
High performance water transport in nanopores has drawn a great deal of attention in a variety of applications, such as water desalination, power generation and biosensing. A single-layer MoS2 nanopore is shown, here, to possess high water transport rate and strong salt rejection rate making it …
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Proteomic-based Signature of Brain-related Proteins as Novel Candidate Biomarkers for Alzheimer’s Disease Diagnosis
Alzheimer’s disease (AD) is the most common type of dementia characterized by the progressive memory loss and cognitive decline, with typical age of onset after 65 years. The main disease hallmarks include extracellular amyloid beta deposits and intracellular neurofibrillary tangles. Brain …
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A “Zero-Background” Multiplexed, Point-Of-Care Testing Platform for Disease Diagnosis, Management, and Surveillance
… we diagnose patients, monitor health, and study disease. Immunoassays typically use capture reagents, such as antibodies or antigens, to detect and quantify a biomarker of interest from a clinical specimen based on highly sensitive and specific binding interactions. While laboratory-based assays, …
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Label-free optical signatures of extracellular vesicles and their applications in disease diagnosis and therapy response
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01
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Biomarkers for autoimmunie disease diagnosis in the public health sector: A systematic review and meta-analysis
Rheumatic heart disease (RHD), rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE) are autoimmune diseases with drastic effects on quality of life. Diagnostic challenges remain, especially given the prevalence of these diseases among people of low socioeconomic status. The purpose of …
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