Дисертації з теми "Early detection of heart disease"
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Hartnick, Maria Diana. "Echocardiography for early detection of heart disease in high risk diabetic patients." Thesis, Cape Peninsula University of Technology, 2015. http://hdl.handle.net/20.500.11838/1566.
Повний текст джерелаIntroduction: Diabetes mellitus is a chronic disease with a significant impact on personal lifestyle and wellbeing. It is associated with a high prevalence of myocardial disease, the early detection of which is important for prevention of disease progression. Although echocardiography is recognised as a leading cardiovascular imaging modality, there has been limited work on its role in the early detection of diabetes-related myocardial dysfunction. The aim of this study was therefore to evaluate the role of echocardiography in the early detection of diabetes-related myocardial disease, in a population with a high prevalence of type 2 diabetes mellitus. Methodology: A single sonographer, blinded to individual biochemical markers conducted detailed echocardiographic examinations on 407 participants from a Cape Town community with a high prevalence of diabetes mellitus. Participants were subsequently stratified by biochemical status, as normoglyceamia or hyperglycaemia. The echocardiographic features of the two groups were compared using the Pearson chi-squared and Mann-Whitney U tests. Findings: Hyperglycaemia was associated with left atrium (LA) enlargement (p ˂ 0.0014), aortic enlargement (p ˂ 0.0067) and inter-ventricular septal (IVS) thickening (p ˂ 0.0001). Conclusion: The findings suggest that echocardiography can be a useful screening tool for myocardial dysfunction in Type 2 diabetes mellitus.
Kounali, Daphne. "Early growth and coronary heart disease." Thesis, University of Southampton, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.436926.
Повний текст джерелаSpringer, David Brian. "Mobile phone-based rheumatic heart disease detection." Thesis, University of Oxford, 2015. https://ora.ox.ac.uk/objects/uuid:5ec8c818-dafb-4571-8198-97607f8d0451.
Повний текст джерелаBull, Adrian Richard. "Early determinants of blood pressure and related disease." Thesis, University of Southampton, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.238962.
Повний текст джерелаSuh, Doug Young. "Knowledge-based boundary detection system : on MRI cardiac image sequences." Diss., Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/13291.
Повний текст джерелаPursiainen, V. (Ville). "Autonomic dysfunction in early and advanced Parkinson's disease." Doctoral thesis, University of Oulu, 2007. http://urn.fi/urn:isbn:9789514283888.
Повний текст джерелаShen, Ze-ping. "An application of neural networks for the detection of coronary heart disease." Thesis, Brunel University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.385186.
Повний текст джерелаHeard, Stephanie. "Plant pathogen sensing for early disease control." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/plant-pathogen-sensing-for-early-disease-control(48949f80-2596-4ce2-912a-6513e72f6a8d).html.
Повний текст джерелаMendel, Julian L. "Laurel Wilt Disease: Early Detection through Canine Olfaction and "Omics" Insights into Disease Progression." FIU Digital Commons, 2017. http://digitalcommons.fiu.edu/etd/3475.
Повний текст джерелаBalderson, Diane E. "Observations on the detection of ventricular late potentials." Thesis, Queen's University Belfast, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.238982.
Повний текст джерелаSridhara, Bangalore Sitaramiah. "Clinical evaluation of '9'9'mTc tetrofosmin in the detection of ischaemic heart disease." Thesis, University of Surrey, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.259561.
Повний текст джерелаOlsson, Louise. "Early detection of colorectal cancer /." Stockholm, 2004. http://diss.kib.ki.se/2004/91-7349-841-6/.
Повний текст джерелаHurrell, Karen Tracy. "Screening for serious disease : modelling the early detection of breast cancer." Thesis, University of Leicester, 1989. http://hdl.handle.net/2381/34546.
Повний текст джерелаSriram, Deepa. "Early detection of bowel disease in symptomatic patients attending community pharmacies." Thesis, Curtin University, 2016. http://hdl.handle.net/20.500.11937/510.
Повний текст джерелаCunningham, Adam F. "The detection, epidemiology and immunobiology of Chlamydia pneumoniae." Thesis, University of Southampton, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.295711.
Повний текст джерелаLopez-Alvarez, Jordi. "Evaluation of early indicators of disease progression in dogs with degenerative mitral valve disease." Thesis, Royal Veterinary College (University of London), 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.669194.
Повний текст джерелаBiba, Matilda. "Colour vision within occupations and in the early detection of retinal disease." Thesis, City University London, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.654960.
Повний текст джерелаHoward, Newton. "Approach to study the brain : towards the early detection of neurodegenerative disease." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:2f81e9d4-ac91-444f-b966-ce1fc665b065.
Повний текст джерелаRen, Jinyi [Verfasser], and Michael [Akademischer Betreuer] Ewers. "Automated detection of early-stage Alzheimer’s Disease / Jinyi Ren ; Betreuer: Michael Ewers." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2020. http://d-nb.info/1211957322/34.
Повний текст джерелаForsén, Tom. "Early growth and adult disease : programming of coronary heart disease, type 2 diabetes and hypertension by fetal and childhood growth." Helsinki : University of Helsinki, 2000. http://ethesis.helsinki.fi/julkaisut/laa/kansa/vk/forsen/.
Повний текст джерелаTimmaraju, Venkat Krishna Chaitanya. "Simulating the early detection and intervention of vascular disease in the caerphilly cohort." Thesis, Cardiff University, 2007. http://orca.cf.ac.uk/55711/.
Повний текст джерелаHett, Kilian. "Multi-scale and multimodal imaging biomarkers for the early detection of Alzheimer’s disease." Thesis, Bordeaux, 2019. http://www.theses.fr/2019BORD0011/document.
Повний текст джерелаAlzheimer’s disease (AD) is the most common dementia leading to a neurodegenerative process and causing mental dysfunctions. According to the world health organization, the number of patients having AD will double in 20 years. Neuroimaging studies performed on AD patients revealed that structural brain alterations are advanced when the diagnosis is established. Indeed, the clinical symptoms of AD are preceded by brain changes. This stresses the need to develop new biomarkers to detect the first stages of the disease. The development of such biomarkers can make easier the design of clinical trials and therefore accelerate the development of new therapies. Over the past decades, the improvement of magnetic resonance imaging (MRI) has led to the development of new imaging biomarkers. Such biomarkers demonstrated their relevance for computer-aided diagnosis but have shown limited performances for AD prognosis. Recently, advanced biomarkers were proposed toimprove computer-aided prognosis. Among them, patch-based grading methods demonstrated competitive results to detect subtle modifications at the earliest stages of AD. Such methods have shown their ability to predict AD several years before the conversion to dementia. For these reasons, we have had a particular interest in patch-based grading methods. First, we studied patch-based grading methods for different anatomical scales (i.e., whole brain, hippocampus, and hippocampal subfields). We adapted patch-based grading method to different MRI modalities (i.e., anatomical MRI and diffusion-weighted MRI) and developed an adaptive fusion scheme. Then, we showed that patch comparisons are improved with the use of multi-directional derivative features. Finally, we proposed a new method based on a graph modeling that enables to combine information from inter-subjects’ similarities and intra-subjects’ variability. The conducted experiments demonstrate that our proposed method enable an improvement of AD detection and prediction
Valluru, Keerthi Srivastav. "Study of Biomolecular Optical Signatures for Early Disease Detection and Cell Physiology Monitoring." University of Akron / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=akron1213627946.
Повний текст джерелаLi, Jiangwei. "Applications of single-molecule detection in early disease diagnosis and enzymatic reaction study." [Ames, Iowa : Iowa State University], 2008.
Знайти повний текст джерелаTelford, Lisa Helen. "Standard echocardiography versus handheld echocardiography for the detection of subclinical rheumatic heart disease: A systematic review." Master's thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/29528.
Повний текст джерелаSjöberg, Rebecca. "Astrocyte-specific druggable protein as PET-ligand target for early detection of Alzheimer's disease." Thesis, KTH, Skolan för bioteknologi (BIO), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215308.
Повний текст джерелаSavage, Henry Oluwasefunmi. "Early detection of decompensation of chronic heart failure using a non-contact monitor of nocturnal respiratory patterns." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/24577.
Повний текст джерелаPalmer, Katie. "Early detection of Alzheimer's disease and dementia in the general population : results from the Kungsholmen project /." Stockholm, 2004. http://diss.kib.ki.se/2004/91-7140-055-9/.
Повний текст джерелаHamshere, Stephen. "Investigation of the effect of early intracoronary autologous bone marrow cell infusion in the management and treatment of acute myocardial infarction." Thesis, Queen Mary, University of London, 2017. http://qmro.qmul.ac.uk/xmlui/handle/123456789/30705.
Повний текст джерелаAtherton, Daniel Lee. "HYPERSPECTRAL REMOTE SENSING FOR ADVANCED DETECTION OF EARLY BLIGHT (ALTERNARIA SOLANI) DISEASE IN POTATO (SOLANUM TUBEROSUM) PLANTS." OpenSIUC, 2015. https://opensiuc.lib.siu.edu/dissertations/1106.
Повний текст джерелаBrunchault, Valérie. "Identification of biomarkers using-omics approach for the early detection of chronic kidney disease and its complications." Thesis, Toulouse 3, 2018. http://www.theses.fr/2018TOU30133/document.
Повний текст джерелаEarly diagnosis of diseases is a big challenge to improve patients' health and quality of life. 'Omics' analyses, which allow the global and simultaneous quantification of the relative abundance of thousands of molecules in biological fluids are promising for the identification of early biomarkers of complex diseases. In this context, the objective of my thesis was to develop diagnostic tools, based on urinary peptidome and metabolome analyses, for the early detection of chronic kidney disease (CKD) and associated cardiovascular complications. The first study, as part of the 4C European project (Cardiovascular Complications in Children with Chronic kidney disease), focused on analyzing the cardiovascular complications associated to CKD in children. These complications are the main cause of mortality in children with CKD and their early diagnosis is impossible for now. Analysis of the urinary peptidome of 86 children with or without cardiovascular complications associated to CKD by capillary electrophoresis coupled to mass spectrometry (CE-MS), led to the identification of two sets of peptides for the early prediction of high cardiovascular risk in pediatric patients: 190 peptides were associated to an increase of the carotid intima-media thickness (AUC 0.87, sensitivity 80%, specificity 100%) and 22 peptides were associated to an increase in arterial stiffness (AUC 0.83, sensitivity 83%, specificity 70%). The second study falls in the field of veterinary medicine. In this study, carried out on 50 dogs with or without CKD, we analyzed for the first time the canine urinary peptidome using the CE-MS technology. We identified 133 urinary peptides associated to CKD allowing an accurate diagnosis of CKD in 80% of the dogs. Metabolites correlate best to phenotype compared to other molecular traits. However, the use of metabolomics for identification of clinically relevant biomarkers is very limited due to the lack of high-performance analytical technologies. The third part of my thesis was to develop a procedure for the quantification of urinary metabolites by CE-MS. Using a unique method of internal normalization based on endogenous and stable metabolites, we can now analyze the metabolite content of the same urine sample with a high reproducibility over the long-term (4 years). As a proof-of-concept, we demonstrated that this developed procedure led to the identification of a set of 32 urinary metabolites that allow the early identification of newborns with an obstructive kidney anomaly with a sensitivity of 76% and a specificity of 86%. Finally, the fourth study was dedicated to improving translational research. The aim was to develop aptasensors able to detect 'omics'-identified biomarkers with a high affinity and specificity to obtain a simple, rapid and low-cost diagnostic test. The biomarker chosen as target is a urinary fragment of alpha-1-antitrypsin, which is ~1000 more abundant in adults with CKD compared to healthy subjects. Aptasensors were selected by the Systematic Evolution of Ligands by EXponential enrichment (SELEX). Here we present preliminary work on the development of the SELEX for our target. In conclusion, this thesis shows the strength of the urinary content, in terms of peptides and metabolites, for the early diagnosis of complex pathologies like CKD and the associated cardiovascular complications. Moreover, the selection of aptasensors targeting these early biomarkers and that can be used at bedside, will revolutionize future diagnostic methods
Gopalappa, Chaitra. "Three Essays on Analytical Models to Improve Early Detection of Cancer." Scholar Commons, 2010. https://scholarcommons.usf.edu/etd/1647.
Повний текст джерелаAlhadi, Hafidh A. A. "Role of heart fatty acid binding protein in the early detection of myocardial injury in patients with acute coronary syndromes." Thesis, University of Edinburgh, 2002. http://hdl.handle.net/1842/23007.
Повний текст джерелаBONZANO, ELISABETTA. "Development of a comprehensive platform for treatment optimization in breast radiotherapy: respiratory gating, heart sparing, early detection of cardiac damage." Doctoral thesis, Università degli studi di Pavia, 2022. http://hdl.handle.net/11571/1463184.
Повний текст джерелаMunder, Tonia [Verfasser]. "Investigation of early histopathological changes in rodent models of Alzheimer's Disease, Parkinson's Disease and CADASIL : brain magnet resonance elastography for early disease detection and staging correlated to histopathology and analysis of neurogenesis and cell survival / Tonia Munder." Berlin : Medizinische Fakultät Charité - Universitätsmedizin Berlin, 2018. http://d-nb.info/1160514887/34.
Повний текст джерелаMunder, Tonia Laura [Verfasser]. "Investigation of early histopathological changes in rodent models of Alzheimer's Disease, Parkinson's Disease and CADASIL : brain magnet resonance elastography for early disease detection and staging correlated to histopathology and analysis of neurogenesis and cell survival / Tonia Munder." Berlin : Medizinische Fakultät Charité - Universitätsmedizin Berlin, 2018. http://d-nb.info/1160514887/34.
Повний текст джерелаChaung, Monica. "Role of Lung Clearance Index in the Early Detection of Pulmonary Changes in Children with Sickle Cell Disease." Thesis, The University of Arizona, 2018. http://hdl.handle.net/10150/627163.
Повний текст джерелаPulmonary complications including acute chest syndrome are leading causes of sickle cell disease related morbidity and mortality. Studies have shown that pulmonary changes can be detected during childhood. Spirometry is the current standard for measuring lung function. Growing evidence suggests that lung clearance index (LCI) is as sensitive as spirometry in identifying pulmonary changes in pediatric patients. Our cross-sectional study compared the sensitivity of LCI to spirometry in the detection of early pulmonary changes in children with sickle cell disease. Our results show that LCI significantly correlates to FEV1% predicted (Spearman’s coefficient -0.44, p = 0.003), FVC % predicted (Spearman’s coefficient -0.44, p = 0.006) and FEF25-75 (Spearman’s coefficient -0.49, p <0.001). Using receiver operating characteristic (ROC) curves, LCI was found to be more sensitive than spirometry, but less specific. The data support LCI’s use as a test to screen for pulmonary changes in children with sickle cell disease. Earlier monitoring of lung function will allow for preventative therapies and delayed progression of pulmonary dysfunction.
Pan, Tao. "Towards early stage disease detection in microdevices : fabrication and testing of micro total analysis systems for bioanalytical applications / /." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd1836.pdf.
Повний текст джерелаPan, Tao. "Towards Early State Disease Detection in Microdevices: Fabrication and Testing of Micro Total Analysis Systems for Bioanalytical Applications." BYU ScholarsArchive, 2007. https://scholarsarchive.byu.edu/etd/1351.
Повний текст джерелаComuni, Federica. "A natural language processing solution to probable Alzheimer’s disease detection in conversation transcripts." Thesis, Högskolan Kristianstad, Fakulteten för naturvetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-19889.
Повний текст джерелаGyenes, Gábor. "Cardiac side-effects of adjuvant radiotherapy for early breast cancer /." [Budapest] ; Stockholm, 1997. http://diss.kib.ki.se/1997/963-9106-04-6.
Повний текст джерелаFarajipour, Parisa. "In Vitro Biomarker Detection for Early Diagnosis of Neurodegenerative Diseases via the Ocular Fluid." University of Akron / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=akron1259778648.
Повний текст джерелаOlsson, Anna, and Denise Nordlöf. "Early screening diagnostic aid for heart disease using data mining : An evaluation using patient data that can be obtained without medical equipment." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-166593.
Повний текст джерелаKodewitz, Andreas. "Methods for large volume image analysis : applied to early detection of Alzheimer's disease by analysis of FDG-PET scans." Thesis, Evry-Val d'Essonne, 2013. http://www.theses.fr/2013EVRY0005/document.
Повний текст джерелаIn this thesis we want to explore novel image analysis methods for the early detection of metabolic changes in the human brain caused by Alzheimer's disease (AD). We will present two methodological contributions and present their application to a real life data set. We present a machine learning based method to create a map of local distribution of classification relevant information in an image set. The presented method can be applied using different image characteristics which makes it possible to adapt the method to many kinds of images. The maps generated by this method are very localized and fully consistent with prior findings based on Voxel wise statistics. Further we preset an algorithm to draw a sample of patches according to a distribution presented by means of a map. Implementing a patch based classification procedure using the presented algorithm for data reduction we were able to significantly reduce the amount of patches that has to be analyzed in order to obtain good classification results. We present a novel non-negative tensor factorization (NTF) algorithm for the decomposition of large higher order tensors. This algorithm considerably reduces memory consumption and avoids memory overhead. This allows the fast decomposition even of tensors with very unbalanced dimensions. We apply this algorithm as feature extraction method in a computer-aided diagnosis (CAD) scheme, designed to recognize early-stage ad and mild cognitive impairment (MCI) using fluorodeoxyglucose (FDG) positron emission tomography (PET) scans only. We achieve state of the art classification rates
Ansart, Manon. "Design of data driven decision support systems for the early detection of subjects at risk to develop Alzheimer's disease." Electronic Thesis or Diss., Sorbonne université, 2019. http://www.theses.fr/2019SORUS450.
Повний текст джерелаThe goal of this thesis is to design data-driven methods to identify subjects at risk to develop Alzheimer's disease. As it is a progressive disease, subtle signs can appear several years before the first clinical symptoms. Identifying subjects who show these signs, and who are likely to develop the disease in the coming years, is a crucial point that could allow researchers to better study the disease mechanism, select patients for clinical trials and tailor patient care. In the first chapter, we conduct a review of methods predicting the future diagnosis of subjects suffering from mild cognitive impairment. We quantitatively and qualitatively study these methods, and take a critical view point by identifying several methodological issues. In the second chapter, we propose our own method to predict the future diagnosis by using a two-step approach: we first predict the future subject characteristics, and then use this result to predict the corresponding diagnosis. In the third chapter, we propose an automatic method to select subjects with a positive biomarker for clinical trials, so as to minimize the recruitment cost. In the last chapter, we analyze prescription patterns before and after diagnosis using a medical record database. We use them to predict if a patient will develop Alzheimer's disease in the next five or ten years. Across these works, we show the importance to take into account the adoption of these methods and the settings in which they can be used, especially regarding the test cohort, the data types and the interpretability of the method
Milano, Isabel. "The Characterization of Alzheimer’s Disease and the Development of Early Detection Paradigms: Insights from Nosology, Biomarkers and Machine Learning." Scholarship @ Claremont, 2019. https://scholarship.claremont.edu/cmc_theses/2192.
Повний текст джерелаMatthew, Shona. "The development and assessment of cardiac magnetic resonance imaging for the detection of age- and disease-related changes in the human heart." Thesis, University of St Andrews, 2012. http://hdl.handle.net/10023/3558.
Повний текст джерелаKleiren, Emilie. "Towards an early diagnosis of Alzheimer's disease: development of an ATR-FTIR biosensor for the detection of Abeta toxic conformations." Doctoral thesis, Universite Libre de Bruxelles, 2013. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209415.
Повний текст джерелаGiven that present guidelines for AD diagnosis are increasingly considered as ill-defined, reliable and early-stage detection methods taking into account the presence of toxic Abeta species are highly awaited by the medical community. In this regard, this thesis work describes the development of a sensing device aiming at the specific detection of the amyloid beta peptide in solution via recognition by antibodies grafted at the surface of functionalized germanium crystals. This new type of BIA-ATR (Biospecific Interaction Analysis - Attenuated Total Reflection) biosensor resorts on ATR-FTIR (Attenuated Total Reflection - Fourier Transform Infrared) spectroscopy, which is extremely sensitive to the secondary structure of proteins. The ATR mode uses germanium as optical transduction element combined to the evanescent wave principle to allow selective online monitoring of peptide-antibody binding events.
In the first part of this work, evaluation of the photochemistry on germanium optical elements have been the subject of intense research focus. Our investigations led to the elaboration of a quality control of functionalization efficiency based on infrared spectroscopy. We also set up in the lab an original ELISA method for selecting antibodies in terms of their true affinity for the Abeta peptide.
Thereafter binding experiments were carried out on the BIA-ATR sensor using different antibodies and Abeta isoforms, leading to the establishing of a standardized protocol for the detection of molecules of interest. Our results showed that Abeta detected on the biosensor corresponded precisely to antibody-bound peptide, whereas Abeta assemblies, and especially Abeta 1-42 oligomeric conformations, could be discriminated with respect to their spectral signature. This point, which was later confirmed by unsupervised statistical analysis, could be considered as particularly interesting and innovative, since to our knowledge, such conformation-sensitivity has never been observed with existing AD diagnostic methods. Moreover, effective recycling of the functionalized crystals has been demonstrated, which confers thereby a second major advantage to the biosensor.
In parallel to these experiments, a structural characterization study of Abeta species was undertaken in order to generate a database of IR spectra, as reference for future comparative analysis of physiological fluids on the biosensor. ATR-FTIR measurements revealed a strong dependency on the ratio between oligomers and fibrils within a mixture and their relative ratio in antiparallel and parallel beta-sheet content. Interestingly, separation trials of oligomeric entities demonstrated a specific effect of Cu2+ ions on Abeta aggregation. Stabilization of small oligomeric aggregates at equimolar Cu2+:Abeta ratios, which had never been clearly evidenced so far, could help to unravel some aspects of the complex role of copper in AD development.
These investigations illustrate the applicability of the so-called BIA-ATR methodology to online detection of different forms of the Abeta peptide in solution and the potential of this new sensor technology to fulfill current pitfalls in providing a reliable and comprehensive approach of AD diagnosis.
Doctorat en Sciences agronomiques et ingénierie biologique
info:eu-repo/semantics/nonPublished
Wang, Yan, and 王焱. "Atherosclerotic disease of the carotid, coronary and renal arteries: diagnosis, angioplasty and the effect ofstent surface on early thrombosis and restenosis." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B31246060.
Повний текст джерелаHenriksson, Catrin. "Coronary Heart Disease and Early Decision Making, from Symptoms to Seeking Care : Studies with Focus on Pre-hospital Delay in Acute Myocardial Infarction Patients." Doctoral thesis, Uppsala universitet, Institutionen för medicinska vetenskaper, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-156636.
Повний текст джерела