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Dissertations / Theses on the topic 'Feather disease'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

com, khalesi20022002@yahoo, and Bahman Khalesi. "Studies of beak and feather disease virus infection." Murdoch University, 2007. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20071119.90905.

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The circovirus Beak and feather disease virus (BFDV) causes psittacine beak and feather disease (PBFD) that is characterised by a chronic disease process associated with feather abnormalities, beak deformities and eventual death in various species of birds in the order Psittaciformes. This disease is seen in captive and wild psittacine species in Australia and several other countries and is a significant threat to the survival of some endangered psittacine species. This thesis reports on genetic studies that have furthered the understanding of the diversity of BFDV present within Australia. T

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Khalesi, Bahman. "Studies of beak and feather disease virus infection." Khalesi, Bahman (2007) Studies of beak and feather disease virus infection. PhD thesis, Murdoch University, 2007. http://researchrepository.murdoch.edu.au/126/.

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The circovirus Beak and feather disease virus (BFDV) causes psittacine beak and feather disease (PBFD) that is characterised by a chronic disease process associated with feather abnormalities, beak deformities and eventual death in various species of birds in the order Psittaciformes. This disease is seen in captive and wild psittacine species in Australia and several other countries and is a significant threat to the survival of some endangered psittacine species. This thesis reports on genetic studies that have furthered the understanding of the diversity of BFDV present within Australia.

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Heath, Livio Edward. "Molecular studies on beak and feather disease virus." Doctoral thesis, University of Cape Town, 2006. http://hdl.handle.net/11427/4270.

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Duvenage, Lucian. "Beak and feather disease virus candidate vaccine development." Master's thesis, University of Cape Town, 2012. http://hdl.handle.net/11427/12785.

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Includes bibliographical references.<br>[Fix supervisors field.] Psittacine beak and feather disease, caused by a circovirus known as beak and feather disease virus (BFDV), is a threat to both wild and captive psittacine species. There is currently no vaccine against BFDV and safe and affordable vaccine candidates are needed to alleviate the disease burden caused by this virus. Production of the BFDV's major antigenic determinant, the capsid protein (CP), in the inexpensive and highly scalable plant expression system, could satisfy these requirements as a potential subunit vaccine. In this wor

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Bonne, Nicolai Johnsen. "Psittacine beak and feather disease : vaccination, haematological response and PCR methodology /." Murdoch University Digital Theses Program, 2009. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20100211.182512.

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no, nicolai@bonne, and Nicolai Johnsen Bonne. "Psittacine beak and feather disease : vaccination, haematological response and pcr methodology." Murdoch University, 2010. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20100211.182512.

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To enable assessment of recombinant BFDV capsid protein (recBFDVcap) for vaccination to protect against PBFD, commercially available lovebirds (Agapornis sp.) were tested for evidence of past and current BFDV infection using PCR, HI and HA to identify suitable BFDV-free birds in which to test the vaccine. During this attempt, it was found that lovebirds from commercial aviaries were endemically infected with BFDV with evidence of up to 100% prevalence of BFDV DNA in blood samples from individual birds over time. Such an approach was abandoned as unlikely to yield suitable numbers of naïve bird

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Bonne, Nicolai Johnsen. "Psittacine beak and feather disease : vaccination, haematological response and pcr methodology." Bonne, Nicolai Johnsen (2010) Psittacine beak and feather disease : vaccination, haematological response and pcr methodology. PhD thesis, Murdoch University, 2010. http://researchrepository.murdoch.edu.au/1658/.

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To enable assessment of recombinant BFDV capsid protein (recBFDVcap) for vaccination to protect against PBFD, commercially available lovebirds (Agapornis sp.) were tested for evidence of past and current BFDV infection using PCR, HI and HA to identify suitable BFDV-free birds in which to test the vaccine. During this attempt, it was found that lovebirds from commercial aviaries were endemically infected with BFDV with evidence of up to 100% prevalence of BFDV DNA in blood samples from individual birds over time. Such an approach was abandoned as unlikely to yield suitable numbers of naïve bird

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com, tickle_me_patty@hotmail, and Patrick Leslie Shearer. "Development of Novel Diagnostic and Vaccine Options for Beak and Feather Disease Virus." Murdoch University, 2009. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20090720.142800.

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Beak and Feather Disease Virus (BFDV) is a circovirus which causes ill-thrift, feather loss and immunosuppression leading to secondary infections and eventually death in psittacine birds. The development of standardised reagents for the detection and characterisation of BFDV infections and for the production of protective vaccines has been difficult as no cell culture system has yet been found to grow the virus successfully in vitro. However, the development of consistent and effective diagnostic tests and vaccines is now more practical through the application of nucleic acid-based detection m

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Shearer, Patrick. "Development of novel diagnostic and vaccine options for beak and feather disease virus (BFDV) /." Murdoch University Digital Theses Program, 2008. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20090720.142800.

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Murdoch University (Ph.D.)--Murdoch University, 2008.<br>Contains three published journal articles at back of thesis. Thesis submitted to the Faculty of Health Sciences. Includes bibliographical references (leaves 196-231)

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Shearer, Patrick Leslie. "Development of novel diagnostic and vaccine options for beak and feather disease virus (BFDV)." Shearer, Patrick Leslie (2009) Development of novel diagnostic and vaccine options for beak and feather disease virus (BFDV). PhD thesis, Murdoch University, 2009. http://researchrepository.murdoch.edu.au/691/.

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Beak and Feather Disease Virus (BFDV) is a circovirus which causes ill-thrift, feather loss and immunosuppression leading to secondary infections and eventually death in psittacine birds. The development of standardised reagents for the detection and characterisation of BFDV infections and for the production of protective vaccines has been difficult as no cell culture system has yet been found to grow the virus successfully in vitro. However, the development of consistent and effective diagnostic tests and vaccines is now more practical through the application of nucleic acid-based detection m

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Julian, Laurel. "Analysis of Genetic Diversity and Evolution through Recombination of Beak and Feather Disease Virus." Thesis, University of Canterbury. Biological Sciences, 2012. http://hdl.handle.net/10092/7425.

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Beak and feather disease virus (BFDV), a non-enveloped, icosahedral virus with a circular single stranded DNA (ssDNA) genome, is the causative agent behind psittacine beak and feather disease (PBFD), an often fatal disease affecting parrots. Symptoms include feathering abnormalities, loss of feathers, and occasionally beak and claw deformities. BFDV-induced immunosuppression results in an increased susceptibility to secondary microbial infections, which is often the cause of death in infected parrots. There is no cure, no effective treatment, and no protective vaccine for BFDV. The internation

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Köhler, Beate. "Study on detection of viral DNA of the agents causing psittacine beak and feather disease and budgerigar fledgling disease in different psittacine species." Diss., lmu, 2009. http://nbn-resolving.de/urn:nbn:de:bvb:19-98417.

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Regnard, Guy Louis. "Development of a potential challenge model and plant-produced vaccine candidate for beak and feather disease virus." Doctoral thesis, University of Cape Town, 2015. http://hdl.handle.net/11427/15690.

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Psittacine beak and feather disease (PBFD), the most prevalent viral disease affecting psittacines, is caused by beak and feather disease virus (BFDV). An outbreak of the disease has been reported in wild endangered Cape parrots (Poicephalus robustus), which is endemic to South Africa. No treatment or vaccine is commercially available. In this study, an investigation into the outbreak was undertaken. BFDV diversity was assessed and viral load and clinical signs correlated. A plant-produced BFDV subunit vaccine was produced in parallel with a corresponding challenge model. Cape parrots were as

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Tang, Yu. "Feature Extraction for the Cardiovascular Disease Diagnosis." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-33742.

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Cardiovascular disease is a serious life-threatening disease. It can occur suddenly and progresses rapidly. Finding the right disease features in the early stage is important to decrease the number of deaths and to make sure that the patient can fully recover. Though there are several methods of examination, describing heart activities in signal form is the most cost-effective way. In this case, ECG is the best choice because it can record heart activity in signal form and it is safer, faster and more convenient than other methods of examination. However, there are still problems involved in t

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Hampshire, T. E. "Feature extraction to aid disease detection and assessment of disease progression in CT and MR colonography." Thesis, University College London (University of London), 2015. http://discovery.ucl.ac.uk/1461345/.

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Computed tomographic colonography (CTC) is a technique employed to examine the whole colon for cancers and premalignant adenomas (polyps). Oral preparation is taken to fully cleanse the colon, and gas insufflation maximises the attenuation contrast between the enoluminal colon surface and the lumen. The procedure is performed routinely with the patient both prone and supine to redistribute gas and residue. This helps to differentiate fixed colonic pathology from mobile faecal residue and also helps discover pathology occluded by retained fluid or luminal collapse. Matching corresponding endolu

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Brightling, Christopher. "Airway eosinophilia in chronic cough, asthma and chronic obstructive pulmonary disease : an immunopathological feature of disease and a marker of response to corticosteriods." Thesis, University of Leicester, 2002. http://hdl.handle.net/2381/29409.

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Eosinophilia bronchitis is a condition characterised by chronic cough and a sputum eosinophilia without the variable airflow obstruction or airway hyperresponsiveness characteristics of asthma. This thesis describes the incidence of eosinophilic bronchitis as a cause of chronic cough and determines whether the presence of a sputum eosinophilia is associated with a favourable response to corticosteroids in eosinophilic bronchitis and chronic obstructive pulmonary disease (COPD). This is the first study to investigate in detail the immunopathology of patients with eosinophilic bronchitis compare

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Oh, Ji Hun. "Contrast-enhanced magnetic resonance liver image registration, segmentation, and feature analysis for liver disease diagnosis." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45912.

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The global objectives of this research are to develop a liver-specific magnetic resonance (MR) image registration and segmentation algorithms and to find highly correlated MR imaging features that help automatically score the severity of chronic liver disease (CLD). For a concise analysis of liver disease, time sequences of 3-D MR images should be preprocessed through an image registration to compensate for the patient motion, respiration, or tissue motion. To register contrast-enhanced MR image volume sequences, we propose a novel version of the demons algorithm that is based on a bi-directio

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Duan, Haoyang. "Applying Supervised Learning Algorithms and a New Feature Selection Method to Predict Coronary Artery Disease." Thèse, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31113.

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From a fresh data science perspective, this thesis discusses the prediction of coronary artery disease based on Single-Nucleotide Polymorphisms (SNPs) from the Ontario Heart Genomics Study (OHGS). First, the thesis explains the k-Nearest Neighbour (k-NN) and Random Forest learning algorithms, and includes a complete proof that k-NN is universally consistent in finite dimensional normed vector spaces. Second, the thesis introduces two dimensionality reduction techniques: Random Projections and a new method termed Mass Transportation Distance (MTD) Feature Selection. Then, this thesis compares t

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Yaseen, Muhammad Usman. "Identification of cause of impairment in spiral drawings, using non-stationary feature extraction approach." Thesis, Högskolan Dalarna, Datateknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:du-6473.

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Parkinson’s disease is a clinical syndrome manifesting with slowness and instability. As it is a progressive disease with varying symptoms, repeated assessments are necessary to determine the outcome of treatment changes in the patient. In the recent past, a computer-based method was developed to rate impairment in spiral drawings. The downside of this method is that it cannot separate the bradykinetic and dyskinetic spiral drawings. This work intends to construct the computer method which can overcome this weakness by using the Hilbert-Huang Transform (HHT) of tangential velocity. The work is

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Friberg-Robertson, Heather L. "CD8+ T Cell Serotype-Cross-Reactivity is a Predominant Feature of Dengue Virus Infections in Humans: A Dissertation." eScholarship@UMMS, 2010. https://escholarship.umassmed.edu/gsbs_diss/513.

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The four serotypes of dengue virus (DENV 1-4) have a significant and growing impact on global health. Dengue disease encompasses a wide range of clinical symptoms, usually presenting as an uncomplicated febrile illness lasting 5-7 days; however, a small percentage of infections are associated with plasma leakage and bleeding tendency (called dengue hemorrhagic fever, DHF), which can result in shock. Epidemiological studies indicate that severe dengue disease most often occurs during secondary heterotypic DENV infection. Additionally, plasma leakage (the hallmark of DHF) coincides with deferves

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Hanley, John P. "A New Evolutionary Algorithm For Mining Noisy, Epistatic, Geospatial Survey Data Associated With Chagas Disease." ScholarWorks @ UVM, 2017. http://scholarworks.uvm.edu/graddis/727.

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The scientific community is just beginning to understand some of the profound affects that feature interactions and heterogeneity have on natural systems. Despite the belief that these nonlinear and heterogeneous interactions exist across numerous real-world systems (e.g., from the development of personalized drug therapies to market predictions of consumer behaviors), the tools for analysis have not kept pace. This research was motivated by the desire to mine data from large socioeconomic surveys aimed at identifying the drivers of household infestation by a Triatomine insect that transmits t

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Perera, Munasinhage Venura Lakshitha. "Metabolic profiling of plant disease : from data alignment to pathway predictions." Thesis, University of Exeter, 2011. http://hdl.handle.net/10036/3906.

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Understanding the complex metabolic networks present in organisms, through the use of high throughput liquid chromatography coupled mass spectrometry, will give insight into the physiological changes responding to stress. However the lack of a proper work flow and robust methodology hinders verifiable biological interpretation of mass profiling data. In this study a novel workflow has been developed. A novel Kernel based feature alignment algorithm, which outperformed Agilent’s Mass profiler and showed roughly a 20% increase in alignment accuracy, is presented for the alignment of mass profili

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Sanders, Teresa H. "Multimodal assessment of Parkinson's disease using electrophysiology and automated motor scoring." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/51970.

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A suite of signal processing algorithms designed for extracting information from brain electrophysiology and movement signals, along with new insights gained by applying these tools to understanding parkinsonism, were presented in this dissertation. The approach taken does not assume any particular stimulus, underlying activity, or synchronizing event, nor does it assume any particular encoding scheme. Instead, novel signal processing applications of complex continuous wavelet transforms, cross-frequency-coupling, feature selection, and canonical correlation were developed to discover the most

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Sherriff, Susan B. "Mathematical feature extraction applied to the Doppler shifted ultrasound signal, with reference to the detection of carotid artery disease." Thesis, University of Sheffield, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.300530.

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Ferster, Maria Laura. "Description and Prediction of Freezing of Gait in Parkinson's Disease from Wearable Inertial Measurements Units." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/10639/.

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Parkinson's disease (PD) is a neuro-degenerative disorder, the second most common after Alzheimer's disease. After diagnosis, treatments can help to relieve the symptoms, but there is no known cure for PD. PD is characterized by a combination of motor and no-motor dysfunctions. Among the motor symptoms there is the so called Freezing of Gait (FoG). The FoG is a phenomenon in PD patients in which the feet stock to the floor and is difficult for the patient to initiate movement. FoG is a severe problem, since it is associated with falls, anxiety, loss of mobility, accidents, mortality and it ha

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He, Jeannie. "Automatic Diagnosis of Parkinson’s Disease Using Machine Learning : A Comparative Study of Different Feature Selection Algorithms, Classifiers and Sampling Methods." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301616.

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Over the past few years, several studies have been published to propose algorithms for the automated diagnosis of Parkinson’s Disease using simple exams such as drawing and voice exams. However, at the same time as all classifiers appear to have been outperformed by another classifier in at least one study, there appear to lack a study on how well different classifiers work with a certain feature selection algorithm and sampling method. More importantly, there appear to lack a study that compares the proposed feature selection algorithm and/or sampling method with a baseline that does not invo

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Parisi, Luca. "Machine Learning-based Feature Selection and Optimisation for Clinical Decision Support Systems. Optimal Data-driven Feature Selection Methods for Binary and Multi-class Classification Problems: Towards a Minimum Viable Solution for Predicting Early Diagnosis and Prognosis." Thesis, University of Bradford, 2019. http://hdl.handle.net/10454/18417.

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This critical synopsis of prior work by Luca Parisi is submitted in support of a PhD by Published Work. The work focuses on deriving accurate, reliable and explainable clinical decision support systems as minimum clinically viable solutions leveraging Machine Learning (ML) and evolutionary algorithms, for the first time, to facilitate early diagnostic predictions of Parkinson's Disease and hypothermia in hospitals, as well as prognostic predictions of optimal postoperative recovery area and of chronic hepatitis. Despite the various pathological aetiologies, the underlying capabil

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Pattiam, Giriprakash Pavithran. "Systemic Identification of Radiomic Features Resilient to Batch Effects and Acquisition Variations for Diagnosis of Active Crohn's Disease on CT Enterography." Cleveland State University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=csu1629542175523398.

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Bornelöv, Susanne. "Rule-based Models of Transcriptional Regulation and Complex Diseases : Applications and Development." Doctoral thesis, Uppsala universitet, Beräknings- och systembiologi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-230159.

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As we gain increased understanding of genetic disorders and gene regulation more focus has turned towards complex interactions. Combinations of genes or gene and environmental factors have been suggested to explain the missing heritability behind complex diseases. Furthermore, gene activation and splicing seem to be governed by a complex machinery of histone modification (HM), transcription factor (TF), and DNA sequence signals. This thesis aimed to apply and develop multivariate machine learning methods for use on such biological problems. Monte Carlo feature selection was combined with rule-

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Veizis, Ilir Elias. "Enhanced ERK1/2 activity a central feature of cystogenesis in ARPKD implications for ion transport phenotype /." Connect to text online, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=case1102023062.

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Thesis (Ph. D.)--Case Western Reserve University, 2005.<br>[School of Medicine] Department of Physiology and Biophysics. Includes bibliographical references. Available online via OhioLINK's ETD Center.

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Pan, Xiaoxi. "Towards FDG-PET image characterization and classification : application to Alzheimer's disease computer-aided diagnosis." Thesis, Ecole centrale de Marseille, 2019. http://www.theses.fr/2019ECDM0008.

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La maladie d’Alzheimer (MA) est la maladie neurodégénérative--incurable et irréversible pour le moment--la plus répandue chez les personnes âgées. On s’attend à ce qu’elle soit diagnostiquée à son stade précoce, Mild Cognitive Impairment (MCI), pour pouvoir intervenir et retarder son apparition. La tomographie par émission de positons au fluorodésoxyglucose (TEP-FDG) est considérée comme une modalité efficace pour diagnostiquer la MA et la phase précoce correspondante, car elle peut capturer les changements métaboliques dans le cerveau, indiquant ainsi des régions anormales. Cette thèse est co

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Kruczyk, Marcin. "Rule-Based Approaches for Large Biological Datasets Analysis : A Suite of Tools and Methods." Doctoral thesis, Uppsala, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-206137.

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This thesis is about new and improved computational methods to analyze complex biological data produced by advanced biotechnologies. Such data is not only very large but it also is characterized by very high numbers of features. Addressing these needs, we developed a set of methods and tools that are suitable to analyze large sets of data, including next generation sequencing data, and built transparent models that may be interpreted by researchers not necessarily expert in computing. We focused on brain related diseases. The first aim of the thesis was to employ the meta-server approach to fi

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De, Voir Christopher S. "Wavelet Based Feature Extraction and Dimension Reduction for the Classification of Human Cardiac Electrogram Depolarization Waveforms." PDXScholar, 2005. https://pdxscholar.library.pdx.edu/open_access_etds/1740.

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An essential task for a pacemaker or implantable defibrillator is the accurate identification of rhythm categories so that the correct electrotherapy can be administered. Because some rhythms cause a rapid dangerous drop in cardiac output, it is necessary to categorize depolarization waveforms on a beat-to-beat basis to accomplish rhythm classification as rapidly as possible. In this thesis, a depolarization waveform classifier based on the Lifting Line Wavelet Transform is described. It overcomes problems in existing rate-based event classifiers; namely, (1) they are insensitive to the conduc

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Johnson, Ashley Nzinga. "A statistical framework for the analysis of neural control of movement with aging and other clinical applications." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/47573.

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The majority of daily living tasks necessitate the use of bimanual movements or concurrent cognitive processing, which are often more difficult for elderly adults. With the number of Americans age 65 and older expected to double in the next 25 years, in-depth research and sophisticated technologies are necessary to understand the mechanisms involved in normal neuromuscular aging. The objective of the research is to understand the effects of aging on biological signals for motor control and to develop a methodology to classify aging and stroke populations. The methodological approach investigat

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Tsanas, Athanasios. "Accurate telemonitoring of Parkinson's disease symptom severity using nonlinear speech signal processing and statistical machine learning." Thesis, University of Oxford, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.572585.

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This study focuses on the development of an objective, automated method to extract clinically useful information from sustained vowel phonations in the context of Parkinson’s disease (PD). The aim is twofold: (a) differentiate PD subjects from healthy controls, and (b) replicate the Unified Parkinson’s Disease Rating Scale (UPDRS) metric which provides a clinical impression of PD symptom severity. This metric spans the range 0 to 176, where 0 denotes a healthy person and 176 total disability. Currently, UPDRS assessment requires the physical presence of the subject in the clinic, is subjective

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Hiejima, Eitaro. "Reduced numbers and proapoptotic features of mucosal-associated invariant T cells as a characteristic finding in IBD patients." Kyoto University, 2016. http://hdl.handle.net/2433/204557.

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Young, Bob Neill. "Experimental neuropsychological tests of feature ambiguity, attention and structural learning : associations with white matter microstructural integrity in elderly with amnesic and vascular mild cognitive impairment." Thesis, University of Canterbury. Psychology, 2014. http://hdl.handle.net/10092/9367.

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Mild cognitive impairment (MCI) is a transition phase between normal aging and Alzheimer’s disease. Individuals with MCI show impairment in cognition as well as corresponding damage to areas of their brain. Performance on tasks such as discriminating objects with ambiguous features has been associated with damage to the perirhinal cortex, while scenes with structural (spatial) elements have been associated with damage to the hippocampus. In addition, attention is regarded as one of the first non-memory domains to decline in MCI. A relatively new MRI technique called diffusion tensor imaging (D

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Lan, Liang. "Data Mining Algorithms for Classification of Complex Biomedical Data." Diss., Temple University Libraries, 2012. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/214773.

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Computer and Information Science<br>Ph.D.<br>In my dissertation, I will present my research which contributes to solve the following three open problems from biomedical informatics: (1) Multi-task approaches for microarray classification; (2) Multi-label classification of gene and protein prediction from multi-source biological data; (3) Spatial scan for movement data. In microarray classification, samples belong to several predefined categories (e.g., cancer vs. control tissues) and the goal is to build a predictor that classifies a new tissue sample based on its microarray measurements. When

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Kopřiva, Tomáš. "Analýza fonace u pacientů s Parkinsonovou nemocí." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-220384.

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This work deals with analysis of phonation in patients with Parkinson’s disease (PD). Approximately 90% of patients with Parkinson’s disease suffer from speech motor dysfunction called hypokinetic dysarthria. System for Parkinson’s disease analysis from speech signals is proposed and several types of features are examined. Czech Parkinson’s speech database called PARCZ is used for classification. This dataset consists of 84 PD patients and 49 healthy controls. Results are evaluated in two ways. Firstly, features are individually analysed by Spearman correlation, mutual information and Mann-Whi

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Ambrosio, Paulo Eduardo. "Redes neurais auto-organizáveis na caracterização de lesões intersticiais de pulmão em radiografia de tórax." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/17/17138/tde-05092007-145334/.

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O desenvolvimento tecnológico proporciona uma melhoria na qualidade de vida devido à facilidade, rapidez e flexibilidade no acesso à informação. Na área biomédica, a tecnologia é reconhecidamente uma importante aliada, permitindo o rápido desenvolvimento de métodos e técnicas que auxiliam o profissional na atenção à saúde. Recentes avanços na análise computadorizada de imagens médicas contribuem para o diagnóstico precoce de uma série de doenças. Nesse trabalho é apresentada uma metodologia para o desenvolvimento de um sistema computacional para caracterização de padrões em imagens pulmonares,

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Laczik, Tamás. "Encoding Temporal Healthcare Data for Machine Learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299433.

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This thesis contains a review of previous work in the fields of encoding sequential healthcare data and predicting graft- versus- host disease, a medical condition, based on patient history using machine learning. A new encoding of such data is proposed for machine learning purposes. The proposed encoding, called bag of binned weighted events, is a combination of two strategies proposed in previous work, called bag of binned events and bag of weighted events. An empirical experiment is designed to evaluate the predictive performance of the proposed encoding over various binning windows to that

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Zuluaga, Valencia Maria Alejandra. "Methods for automation of vascular lesions detection in computed tomography images." Thesis, Lyon 1, 2011. http://www.theses.fr/2011LYO10010/document.

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Les travaux de cette thèse sont consacrés à la détection et le diagnostic des lésions vasculaires, particulièrement dans le cas la maladie coronaire. La maladie coronaire continue à être la première cause de mortalité dans les pays industrialisés. En général, l'identification des lésions vasculaires est abordée en essayant de modéliser les anormalités (lésions). Le principal inconvénient de cette approche est que les lésions sont très hétérogènes, ce qui rend difficile la détection de nouvelles lésions qui n'ont pas été prises en compte par le modèle. Dans cette thèse, nous proposons de ne pas

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Souza, Hugo Araújo. "Classificação da marcha em parkinsonianos: análise dos algoritmos de aprendizagem supervisionada." Universidade Federal de Alagoas, 2017. http://www.repositorio.ufal.br/handle/riufal/1758.

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Parkinson’s disease is the second most prevalent neurodegenerative disease in the elderly, although its dominance and incidence vary according to age, gender and race/ethnicity. Studies indicate that the prevalence increases with age, with an estimate of 5 to 26 cases per 100,000 people per year, being approximately 1% among individuals aged 65- 69 and ranging from 3% to 14.3% among the elderly over 85 years. The most common clinical signs in the inflammatory process include the presence of resting tremor, muscle stiffness, bradykinesia and postural instability. The diagnosis of the disease is

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Kowolowski, Alexander. "Vývoj moderních akustických parametrů kvantifikujících hypokinetickou dysartrii." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-401990.

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This work deals with designing and testing of new acoustic features for analysis of dysprosodic speech occurring in hypokinetic dysarthria patients. 41 new features for dysprosody quantification (describing melody, loudness, rhythm and pace) are presented and tested in this work. New features can be divided into 7 groups. Inside the groups, features vary by the used statistical values. First four groups are based on absolute differences and cumulative sums of fundamental frequency and short-time energy of the signal. Fifth group contains features based on multiples of this fundamental frequenc

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Fonseca, Sara Monteiro. "Psittacine beak and feather disease and other activities." Master's thesis, 2020. http://hdl.handle.net/10348/9874.

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Traineeship Report<br>The internship referred to in this report was carried out at the Avian and Exotic Clinic of the University of Veterinary and Pharmaceutical Sciences, in Brno, Czech Republic. This summarises a three-month work, between 17th September and 17th December 2018. The first chapter provides the state-of-the art regarding the Psittacine Beak and Feather Disease (PBFD), which gathers a review of the literature. The second chapter presents a practical study about PBDF, in which the Clinic was involved and that I had the opportunity to follow. The third chapter summarizes the casu

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Ho, Chia-Fang, and 何佳芳. "Detection of beak and feather disease virus antigen by antigen-capture ELISA." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/87354326806244335970.

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碩士<br>國立中興大學<br>獸醫學系暨研究所<br>103<br>Beak and feather disease virus (BFDV) is the most common viral disease of wild psittacine birds, which is caused by a nonenveloped, circular single-strand DNA virus with two major open reading frames (ORFs). The ORF1 and ORF2 respectively encode a replication-associated protein (Rep) and the capsid protein (Cap). In this study, the expressed proteins, Rep and Cap, were to immunize BALB/c mice to generate monoclonal antibodies. After cell fusion, the hybridoma cell lines were screened by ELISA and the Cap monoclonal cell lines (MAb-Cap1 to MAb-Cap10) and the R

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Soares, João Diogo Correia. "Estudo Caso-Controlo - Infeção por Beak and Feather Disease Virus em Psitaciformes." Dissertação, 2020. https://hdl.handle.net/10216/127612.

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Soares, João Diogo Correia. "Estudo Caso-Controlo - Infeção por Beak and Feather Disease Virus em Psitaciformes." Master's thesis, 2020. https://hdl.handle.net/10216/127612.

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Tsai, Meng-Ta, and 蔡孟達. "Survey of Avian Polyomavirus and Psittacine Beak and Feather Disease Virus in Parrot of Taiwan." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/f5u3cf.

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碩士<br>國立屏東科技大學<br>獸醫學系所<br>106<br>Polyomavirus (APV) mainly causes acute systemic symptoms, also known as small parrot disease, which happens on the psittacine chicks. All age of the parrot birds could potentially been infected. If being infected, the death rate of clinical symptoms is related to the age of infection. Part of the chicks may die suddenly before the clinical symptoms of acute appeared; whereas the chicks that survive will have the appearance of clinical symptoms. These symptoms of the survival include obvious ones: symmetrical drop-out of feathers, abdominal distention, dyschrom

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Ko, Ching-Yi, and 柯靜宜. "Sequence analysis of avian polyomavirus and psittacine beak and feather disease virus from psittacine birds." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/53275849449558602613.

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碩士<br>國立臺灣大學<br>獸醫學研究所<br>92<br>Avian polyomavirus (APV) and psittacine beak and feather disease virus (PBFDV) are the common viral disease of psittacine birds. APV belongs to genes Avipolyomavirus of the family Papovaviridae, and causes acute fatal disease in young budgerigar with a mortality rate of up to 100%. APV infection is also known as budgerigar fledgling disease (BFD). PBFDV belongs to genes Circovirus of the family Circoviridae. PBFDV affects over 60 species of wild and captive psittacine birds. Clinical signs include chronic and progressive losses of feathers and in some species de

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