Teses / dissertações sobre o tema "Predictive functional tests"
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Rosendahl, Erik. "Fall prediction and a high-intensity functional exercise programme to improve physical functions and to prevent falls among older people living in residential care facilities". Doctoral thesis, Umeå : Samhällsmedicin och rehabilitering Community Medicine and Rehabilitation, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-756.
Texto completo da fonteThorel, Lucie. "Utilisatiοn de tests fοnctiοnnels pοur la prédictiοn de la répοnse des cancers οvariens à la chimiοthérapie cοnventiοnnelle et aux inhibiteurs de ΡARΡ : intérêt des οrganοides tumοraux". Electronic Thesis or Diss., Normandie, 2024. http://www.theses.fr/2024NORMC416.
Texto completo da fonteOvarian cancers are the second leading cause of death from gynecological cancers worldwide, primarily due to late diagnosis combined with the development of resistance to chemotherapy. Approximately half of these cancers exhibit alterations in homologous recombination (HR), making them sensitive to PARP protein inhibitors (PARPi), which are involved in DNA repair. However, identifying patients who respond to chemotherapy and selecting those eligible for PARPi remains a challenge for clinicians. In this context, the use of patient-derived tumor organoids (PDTO) for predictive functional testing represents a promising approach to guide therapeutic choices in first-line treatment and beyond. The aim of this thesis is to study the feasibility of functional tests based on PDTO to evaluate their potential applicability in precision medicine. Establishing a panel of PDTO derived from various ovarian histological subtypes has demonstrated that these models recapitulate the histological and molecular characteristics of their tumors of origin. Following direct exposure functional tests of the tumor organoids to first- and second-line treatments, we showed that these models exhibit heterogeneous responses to treatments, and particularly that PDTO identified by the predictive test as sensitive to carboplatin mainly originated from responding patients. Additionally, we investigated the results of a functional test assessing HR status, the RECAP test, and demonstrated that this test is complementary to the current method for determining HR status, which relies on NGS sequencing techniques. Although larger-scale investigations are needed to confirm the potential of tumor organoids, these results provide further support for the use of ovarian tumor organoids in the context of precision medicine
McMullen, Samuel. "Injury Prediction in Division-I Collegiate Cross-Country Runners using Functional Movement Tests". University of Toledo / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1369821797.
Texto completo da fonteKeil, MIchael M. "Brief neuropsychological assessment in the prediction of everyday functional abilities of older adults". Ohio : Ohio University, 2005. http://www.ohiolink.edu/etd/view.cgi?ohiou1113582582.
Texto completo da fonteSchweim, Jarrett Joshua. "Do any of a set of Lower Extremity Functional Assessment tests predict in the incidence of injury among a Cohort of collegiate freshmen football players? A Pilot Study". Columbus, Ohio : Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1243851951.
Texto completo da fonteSelvaraj, Suresh Immanuel. "Development of flexible pavement rut prediction models from the NCAT test track structural study sections data". Auburn, Ala., 2007. http://repo.lib.auburn.edu/2007%20Spring%20Dissertations/SELVARAJ_SURESH-IMMANUEL_55.pdf.
Texto completo da fonteSon, Seong Jun. "Clinical Predictors of Movement Patterns in Patients with Chronic Ankle Instability". BYU ScholarsArchive, 2017. https://scholarsarchive.byu.edu/etd/6618.
Texto completo da fonteGermani, Giacomo. "Predicting acute cellular rejection after liver transplantation: form liver function test to immune monitoring". Doctoral thesis, Università degli studi di Padova, 2013. http://hdl.handle.net/11577/3426180.
Texto completo da fonteLo scopo principale della terapia immunosoppressiva dopo trapianto di fegato è passato dalla prevenzione del rigetto acuto alla preservazione della funzionalità a lungo termine dell’organo trapiantato e alla prevenzione degli effetti collaterali dovuti alla terapia immunosoppressiva. Per perseguire tale scopo è necessaria una gestione ottimale della terapia immunosoppresiva stessa. Tuttavia, la misurazione dei livelli ematici dei farmaci immunosoppressori, generalmente utilizzati come surrogato dei livelli di immunosoppressione, non fornisce informazioni relative alla reale intensità della soppressione del sistema immunitario. Pertanto l’individuazione di marcatori biologici di rigetto acuto e/o di tolleranza risulta fondamentale per poter migliorare la gestione della terapia immunosoppressiva dopo-trapianto di fegato. Gli scopi degli studi riportati in questa tesi sono: 1) determinare l’incidenza e gli eventuali fattori di rischio di rigetto acuto dopo trapianto di fegato, valutare in che l’influenza del rigetto acuto e della sua severità istologica sulla sopravvivenza dell’organo e del paziente dopo trapianto di fegato; 2) valutare il ruolo degli indici di funzionalità epatica e della conta eosinofilica ematica come potenziali marcatori biologici di rigetto acuto dopo trapianto di fegato, in particolare di grado moderato/severo; 3) valutare, prima e dopo trapianto di fegato l’espressione di specifici marcatori immunologici di rigetto acuto. I risultati degli studi condotti hanno evidenziato come pazienti con diagnosi di rigetto acuto alla biopsia di protocollo presentino una sopravvivenza di organo e paziente, a 1, 5 e 10 anni dal trapianto di fegato, del tutto sovrapponibile a quella di pazienti senza evidenza istologica di rigetto acuto alla biopsia di protocollo. L’insorgenza di rigetto acuto di grado moderato/severo non sottoposto a trattamento farmacologico è tuttavia associata ad aumentata incidenza di decesso o perdita dell’organo post-trapianto. Nel valutare potenziali marcatori biologici di rigetto acuto, abbiamo dimostrato che nonostante la conta eosinofilica periferica non sia sufficientemente predittiva per lo sviluppo di rigetto acuto post-trapianto, la differenza nella conta eosinofilica tra la prima e la seconda biopsia epatica può essere considerato un fattore predittivo di miglioramento istologico, indipendentemente dall’utilizzo o meno di terapia con boli steroidei. Non è stata invece evidenziata alcuna associazione tra l’alterazione degli indici di funzionalità epatica e l’insorgenza di rigetto acuto. Infine, è stato dimostrato che l’insorgenza di rigetto acuto risulta associata ad aumentata espressione di CD28 e CD38 sia sui linfociti T CD4+ che CD8+ e ad un aumento dei livelli di IL-17. Tali alterazioni del sistema immunitario potrebbero essere utilizzate nella pratica clinica per valutare lo stato di soppressione del sistema immunitario in pazienti sottoposti a trapianto di fegato con il fine ultimo di una gestione ottimale e personalizzata della terapia immunooppressiva
Al-Nsair, Nezam. "A Study in Predicting Oxygen Consumption in Older Women with Diastolic Heart Failure". University of Cincinnati / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1047065058.
Texto completo da fonteJin, Zhongnan. "Statistical Methods for Multivariate Functional Data Clustering, Recurrent Event Prediction, and Accelerated Degradation Data Analysis". Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/102628.
Texto completo da fonteDoctor of Philosophy
Cléry-Melin, Galichon Marie-Laure. "Étude des fonctions neurocognitives dans la dépression : caractérisation de déficits motivationnels et cognitifs, évaluation de leur valeur pronostique Why don't you try harder? An investigation of effort production in major depression Neural mechanisms underlying motivation of mental versus physical effort Psychomotor retardation is a scar of past depressive episodes, revealed by simple cognitive tests Are cognitive deficits in major depressive disorder progressive? A simple attention test in the acute phase of a major depressive episode is predictive of later functional remission Progress in elucidating biomarkers of antidepressant pharmacological treatment response: a systematic review and meta-analysis of the last 15 years Stability of the diagnosis of seasonal affective disorder in a long-term prospective study". Thesis, Sorbonne Paris Cité, 2018. http://www.theses.fr/2018USPCB218.
Texto completo da fonteHese deficits coexist in the acute phase of a depressive episode and interfere with decision-making and goal-directed behaviors, and the associated feeling of effort. They appear to persist in periods of clinical remission, decreasing the quality of the therapeutic and functional response and lately worsening the prognosis of the disorder. The aim of this work is to identify objectively measurable neurocognitive markers in clinical practice, and to study their association with the prognosis of a depressive episode, in order to better predict remission and potentially to optimize therapeutic prescribing strategies for patients accordingly. The impairment of neurocognitive processes related to reward constitutes a first vulnerability marker for major depressive disorder (MDD): in a study assessing the production of motor effort in order to obtain a reward, depressed patients had a deficit in production of effort, unlike healthy subjects. Such deficit in incentive motivation - a process underpinned by the activation of ventral cortico-striatal circuits in healthy subjects - may constitute a specific dimension of MDD. It participates in the decision-making and action processes impairments and is associated with – and possibly a consequence of- more specifically cognitive deficits. In a study assessing several cognitive functions in a large cohort of depressed patients, the persistence of psychomotor retardation after 6 to 8 weeks of treatment - in patients considered as being in clinical remission - was positively and independently correlated with the number of past depressive episodes, thus constituting a marker of "cumulative" marker of past depressive episodes. Finally, in a literature review on the progressive evolution of cognitive deficits in MDD, we discussed the existence of a “neurotoxic” effect of the lifetime accumulation of depressive episodes on neurocognitive deficits and its consequences on disease prognosis (increased risk of incomplete functional/clinical remission, relapses, evolution towards dementia). One of the main interest in identifying clinical and cognitive markers of vulnerability is to highlight their capacity to predict the course of a depressive episode-or disorder. In a study based on a cohort of more than 500 depressed patients, a measurement of attention (d2 attention test) was able to significantly and independently predict the subsequent course towards complete remission (clinical and functional) and to constitute a trait -marker of depression, easy to use in clinical practice. Other cognitive markers (such as executive functions) have shown high predictive values for therapeutic response, comparable to those provided by imaging or electrophysiology markers, according to the results of a recent meta-analysis, that emphasizes the interest of using them in patient’s follow-up. Finally, in order to better assess the prognosis of depressive disorder, we have shown that Seasonal Affective Disorder (SAD) diagnosis criteria - which nevertheless represents a specific depressive disorder with well-known physiopathology substrates (construction validity) - had a low predictive validity, prompting to consider this disorder as a temporary expression of a mood disorder, rather than a specific disorder. The identification of clinical tools measuring motivational and cognitive deficits in clinical routine and predicting the course of a depressive episode or disorder represents a major challenge in the improvement of personalized therapeutic management and the long-term prognosis in depressed patients
Coffey, Timothy G. "Examination of lower extremity mechanics during three landing tasks and injury prediction ability of those models as compared to a functional test". VCU Scholars Compass, 2015. http://scholarscompass.vcu.edu/etd/3738.
Texto completo da fonteKristina, Tot Vereš. "Prediktivni faktori za neželjeni događaj tokom jednogodišnjeg praćenja pacijenata obolelih od hronične opstruktivne bolesti pluća". Phd thesis, Univerzitet u Novom Sadu, Medicinski fakultet u Novom Sadu, 2017. https://www.cris.uns.ac.rs/record.jsf?recordId=104740&source=NDLTD&language=en.
Texto completo da fonteChronic obstructive pulmonary disease is one of the most common chronic lung diseases and is an important cause of morbidity and mortality in the world. Exacerbations are an important event in the course of the disease, as they have a negative impact on mortality, quality of life, lung function decline and increased costs of treatment. The aim of study is to identify risk factors for exacerbation or death during the one-year follow-up of patients with chronic obstructive pulmonary disease, and creation of predictive models for exacerbation and mortality during the follow-up period. The study included 200 patients with a confirmed diagnosis of chronic obstructive pulmonary disease who have had the therapy according to the Global initiative for chronic obstructive airway diseases guidelines. Patients were followed for one year, evaluated the number of exacerbations on the basis of emergency visits and eventual death. With statistical data processing there were identified independent predictors of exacerbations (age > 65 years, COPD Assessment Test > 9, modified Medical Research Council scale >2, oxygen saturation ≤ 93%) and death (age > 65 years, the need for application of antiplatelet therapy, the rate of maximum expiratory flow at 25% of vital capacity ≤ 1,16 l, modified Medical Research Council scale >2, heart rate > 89th). Of these independent factors was created a models for the prediction of adverse events during the one-year mark of COPD patients. Internal validation showed good predictive value of both models. No difference between the observed and the expected percentage of occurrence of exacerbations or death during the the follow-up period.
Ferrero, Carlos Andres. "Algoritmo kNN para previsão de dados temporais: funções de previsão e critérios de seleção de vizinhos próximos aplicados a variáveis ambientais em limnologia". Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-19052009-135128/.
Texto completo da fonteTreating data that contains sequential information is an important problem that arises during the data mining process. Time series constitute a popular class of sequential data, where records are indexed by time. The k-Nearest Neighbor - Time Series Prediction kNN-TSP method is an approximator for time series prediction problems. The main advantage of this approximator is its simplicity, and is often used in nonlinear time series analysis for prediction of seasonal time series. Although kNN-TSP often finds the best fit for nearly periodic time series forecasting, some problems related to how to determine its parameters still remain. In this work, we focus in two of these parameters: the determination of the nearest neighbours and the prediction function. To this end, we propose a simple approach to select the nearest neighbours, where time is indirectly taken into account by the similarity measure, and a prediction function which is not disturbed in the presence of patterns at different levels of the time series. Both parameters were empirically evaluated on several artificial time series, including chaotic time series, as well as on a real time series related to several environmental variables from the Itaipu reservoir, made available by Itaipu Binacional. Three of the most correlated limnological variables were considered in the experiments carried out on the real time series: water temperature, air temperature and dissolved oxygen. Analyses of correlation were also accomplished to verify if the predicted variables values maintain similar correlation as the original ones. Results show that both proposals, the one related to the determination of the nearest neighbours as well as the one related to the prediction function, are promising
Oliveira, Natália Lombardi de. "Distribuição preditiva do preço de um ativo financeiro: abordagens via modelo de série de tempo Bayesiano e densidade implícita de Black & Scholes". Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/104/104131/tde-13092017-083037/.
Texto completo da fonteWe present two different approaches to obtain a probability density function for the stocks future price: a predictive distribution, based on a Bayesian time series model, and the implied distribution, based on Black & Scholes option pricing formula. Considering the Black & Scholes model, we derive the necessary conditions to obtain the implied distribution of the stock price on the exercise date. Based on predictive densities, we compare the market implied model (Black & Scholes) with a historical based approach (Bayesian time series model). After obtaining the density functions, it is simple to evaluate probabilities of one being bigger than the other and to make a decision of selling/buying a stock. Also, as an example, we present how to use these distributions to build an option pricing formula.
Monika, Papić. "Prognostički faktori za povratak na posao kod bolesnika operisanih zbog lumbalne diskus hernije". Phd thesis, Univerzitet u Novom Sadu, Medicinski fakultet u Novom Sadu, 2016. http://www.cris.uns.ac.rs/record.jsf?recordId=101084&source=NDLTD&language=en.
Texto completo da fonteReturn to work after lumbar discectomy is determinated by functional status, presence and degree of discomfort in the lumbosacral spine, the requirements in the workplace of patients and psychosocial factors that in the assessment of working capabilities require an individual approach. Groups of patients which don’t return to work after surgery could be identified by predictive model. The aim of this study is to define prognostic model to return to work patients after lumbar discectomy, as well as the identification major risk factors responsible for the poor outcome of operative treatment viewed through the prism of returning to work. This prospective study included a total of 200 patients, who underwent surgery for lumbar disc herniation on one level and were followed up in period of 12 months following surgery. The statistical analysis included 153 patients who fulfilled all selection criteria of the study subjects. After determining significance of the observed biological, professional and psychosocial risk factors for return to work, prognostic models were designed and evaluated based on all and selected attributes by tenfold cross-validation: decision tree (DT) model of multilayer perception (MLP) model and support vector (SVM). For the prediction of return to work best accuracy, specificity and sensitivity for selected attributes, is achieved by supporting vector model (SVM). The decision tree model (DT) provides the best intuitive and practical value for predicting return to work. By identifying the most important risk factors for adverse outcome for return to work it is made possible for preventive actions, to reduce the number of patients with reduced work ability and disability.
Rodrigues, Agatha Sacramento. "Estatística em confiabilidade de sistemas: uma abordagem Bayesiana paramétrica". Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-10102018-232055/.
Texto completo da fonteThe reliability of a system of components depends on reliability of each component. Thus, the initial statistical work should be the estimation of the reliability of each component of the system. This is not an easy task because when the system fails, the failure time of a given component can be not observed, that is, a problem of censored data. We propose parametric Bayesian models for reliability functions estimation of systems and components involved in four scenarios. First, a Weibull model is proposed to estimate component failure time distribution from non-repairable coherent systems when there are available the system failure time and the component status at the system failure moment. Furthermore, identically distributed failure times are not a required restriction. An important result is proved: without the assumption that components\' lifetimes are mutually independent, a given set of sub-reliability functions does not identify the corresponding marginal reliability function. In masked cause of failure situations, it is not possible to identify the statuses of the components at the moment of system failure and, in this second scenario, we propose a Bayesian Weibull model by means of latent variables in the estimation process. The two models described above propose to estimate marginally the reliability functions of the components when the information of the other components is not available or necessary and, consequently, the assumption of independence among the components\' failure times is necessary. In order to not impose this assumption, the Hougaard multivariate Weibull model is proposed for the estimation of the components\' reliability functions involved in non-repairable coherent systems. Finally, a Weibull model for the estimation of the reliability functions of components of a repairable series system with masked cause of failure is proposed. For each scenario, different simulation studies are carried out to evaluate the proposed models, always comparing then with the best solution found in the literature until then. In general, the proposed models present better results. In order to demonstrate the applicability of the models, data analysis are performed with real problems not only from the reliability area, but also from social area.
Biggan, Shannah Lynne. "Predictive validity of functional assessment and neuropsychological test scores in the vocational outcome of persons with traumatic brain injuries". Thesis, 1996. https://dspace.library.uvic.ca//handle/1828/9446.
Texto completo da fonteGraduate
Jain, Pooja. "Gene function prediction by mining biomedical literature". Master's thesis, 2004. http://hdl.handle.net/10451/13998.
Texto completo da fonteThis dissertation presents an application of text mining to automate the identification of the function of large sets of genes from the biomedical literature. It proposes an approach to obtain this knowledge as annotations that associate biologic entities to Gene Ontology terms. The discovered annotations can then be efficiently curated through an interactive interface. This approach was validated by building the APEG (Arabidopsis Pollen Expressed Genes) database system, which integrates information about 147 pollen selectively expressed genes of Arabidopsis thaliana, from various public databases available on the Web. APEG operates with ProFAL, a text mining and automatic database annotation tool. The effectiveness of the automatic annotation of the genes was evaluated by comparing the set of annotations discovered by ProFAL with those obtained by domain experts scanning the same literature. Functional annotations were extracted with an average precision and recall of 61% and 78%, respectively. ProFAL has also identified 21 probable functions for 8 genes, which, to the best of my knowledge, have not been documented. The results show that mining the biomedical literature can effectively increase our knowledge about a set of genes or proteins of interest, leading to more conclusive answers to the underlying biological problems.
Nesta dissertação investiga-se a aplicação da prospecção de textos da área da biomedicina para automatizar a identificação da função de colecções de genes de grande dimensão, sob a forma de anotações que associam entidades biológicas a termos de GO (Gene Ontology, Ontologia Génica). As anotações descobertas podem ser curadas através de uma interface de utilizador interactiva. Esta abordagem foi validada através da construção do sistema APEG (Arabidopsis Pollen Expressed Genes, Genes Expressos em Pólen de Arabidopsis), que integra informação obtida a partir de várias bases de dados públicas disponíveis na Web sobre 147 genes da planta Arabidopsis expressos selectivamente. O APEG integra a ferramenta de prospecção e anotação automática da bases de dados ProFAL. Na avaliação da eficácia da anotação automática dos genes observou-se que as anotações foram extraídas com uma precisão e abrangência médias de 61% e 78%, respectivamente. A ProFAL identicou 21 funções prováveis para 8 genes, que, segundo os dados disponíveis, ainda não foram documentadas. Os resultados mostram que a abordagem proposta permite melhorar o conhecimento relativo a um conjunto de genes ou proteínas em estudo, conduzindo a respostas mais significativas face as questões biológicas subjacentes.
Herold, M. P. (Marina Patricia). "The use of word prediction as a tool to accelerate the typing speed and increase the spelling accuracy of primary school children with spelling difficulties". Diss., 2004. http://hdl.handle.net/2263/28139.
Texto completo da fonteDissertation (M (Augmentative and Alternative Communication))--University of Pretoria, 2005.
Centre for Augmentative and Alternative Communication (CAAC)
unrestricted
McCanna, David. "Development of Sensitive In Vitro Assays to Assess the Ocular Toxicity Potential of Chemicals and Ophthalmic Products". Thesis, 2009. http://hdl.handle.net/10012/4338.
Texto completo da fonte