Rozprawy doktorskie na temat „Periodic prediction”
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Chen, Jin-Jae. "Prediction of periodic forced response of frictionally constrained turbine blades /". The Ohio State University, 1999. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488187763847997.
Pełny tekst źródłaSadat, Hosseini Seyed Hamid Stern Frederick Carrica Pablo M. "CFD prediction of ship capsize parametric rolling, broaching, surf-riding, and periodic motions /". [Iowa City, Iowa] : University of Iowa, 2009. http://ir.uiowa.edu/etd/427.
Pełny tekst źródłaDate, James Charles. "Performance prediction of high lift rudders operating under steady and periodic flow conditions". Thesis, University of Southampton, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390722.
Pełny tekst źródłaSadat, Hosseini Seyed Hamid. "CFD prediction of ship capsize: parametric rolling, broaching, surf-riding, and periodic motions". Diss., University of Iowa, 2009. https://ir.uiowa.edu/etd/427.
Pełny tekst źródłaPerreira, Das Chagas Thiago. "Stabilization of periodic orbits in discrete and continuous-time systems". Phd thesis, Université Paris Sud - Paris XI, 2013. http://tel.archives-ouvertes.fr/tel-00852424.
Pełny tekst źródłaLindsey, Justin. "Fatigue Behavior in the Presence of Periodic Overloads Including the Effects of Mean Stress and Inclusions". University of Toledo / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1319554971.
Pełny tekst źródłaBorda, Jorge Victor Quiñones. "Log periodic analysis of critical crashes in the portuguese stock market". Master's thesis, Instituto Superior de Economia e Gestão, 2015. http://hdl.handle.net/10400.5/11082.
Pełny tekst źródłaO estudo de fenómenos críticos que se originaram nas ciências naturais e encontraram muitos campos de aplicação foi estendido nos últimos anos aos campos da economia de finanças, fornecendo aos investigadores novas abordagens para problemas conhecidos, nomeadamente aos que estão relacionados com a gestão de risco, a previsão, o estudo de bolhas financeiras e crashes, e muitos outros tipos de problemas que envolvem sistemas com criticalidade auto-organizada. A teoria de singularidades de tempo oscilatório auto-similares é apresentada, uma metodologia prática é exposta, juntamente com alguns resultados de análises semelhantes de diferentes mercados em todo o mundo, como uma maneira de obter de alguns exemplos da forma como a função "linear" log-periódica de potências funciona. Apresento alguns contextos onde o tempo de crise é apresentado aos mercados internacionais - como uma maneira de demonstração de antecedentes -, assim como apresento também três aplicações práticas do mercado de acções português (1997, 2008 e 2015). A sensibilidade dos resultados e do significado das oscilações log-periódicas são avaliadas. Concluo com algumas recomendações e futuras propostas de investigação.
The study of critical phenomena that originated in the natural sciences and found many fields of applications has been extended in the last years to the financial economics? field, giving researchers new approaches to known problems, namely those related to risk management, forecasting, the study of bubbles and crashes, and many kind of problems involving complex systems with self-organized criticality. The theory of self-similar oscillatory time singularities is presented. A practical methodology is exposed along with some results from similar analysis from different markets around the world, as a way to get some examples of the way the ´Linear´ Log-Periodic Power Law formula works. Some context presenting the international markets at the time of crisis is given as a way of having some background, and three practical applications for the Portuguese stock market are made (1997, 2008 and 2015). The sensitivity of the results and the significance from the log-periodic oscillations is assessed. It concludes with some recommendations and future proposed research.
Devarasetty, Ravi Kiran. "Heuristic Algorithms for Adaptive Resource Management of Periodic Tasks in Soft Real-Time Distributed Systems". Thesis, Virginia Tech, 2001. http://hdl.handle.net/10919/31219.
Pełny tekst źródłaMaster of Science
Kamisetty, Jananni Narasimha Shiva Sai Sri Harsha Vardhan. "Forecasting Trajectory Data : A study by Experimentation". Thesis, Blekinge Tekniska Högskola, Institutionen för kommunikationssystem, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13976.
Pełny tekst źródłaLevin, Ori. "Numerical studies of transtion in wall-bounded flows". Doctoral thesis, KTH, Mechanics, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-546.
Pełny tekst źródłaDisturbances introduced in wall-bounded flows can grow and lead to transition from laminar to turbulent flow. In order to reduce losses or enhance mixing in energy systems, a fundamental understanding of the flow stability and transition mechanism is important. In the present thesis, the stability, transition mechanism and early turbulent evolution of wall-bounded flows are studied. The stability is investigated by means of linear stability equations and the transition mechanism and turbulence are studied using direct numerical simulations. Three base flows are considered, the Falkner-Skan boundary layer, boundary layers subjected to wall suction and the Blasius wall jet. The stability with respect to the exponential growth of waves and the algebraic growth of optimal streaks is studied for the Falkner-Skan boundary layer. For the algebraic growth, the optimal initial location, where the optimal disturbance is introduced in the boundary layer, is found to move downstream with decreased pressure gradient. A unified transition prediction method incorporating the influences of pressure gradient and free-stream turbulence is suggested. The algebraic growth of streaks in boundary layers subjected to wall suction is calculated. It is found that the spatial analysis gives larger optimal growth than temporal theory. Furthermore, it is found that the optimal growth is larger if the suction begins a distance downstream of the leading edge. Thresholds for transition of periodic and localized disturbances as well as the spreading of turbulent spots in the asymptotic suction boundary layer are investigated for Reynolds number Re=500, 800 and 1200 based on the displacement thickness and the free-stream velocity. It is found that the threshold amplitude scales like Re^-1.05 for transition initiated by streamwise vortices and random noise, like Re^-1.3 for oblique transition and like Re^-1.5 for the localized disturbance. The turbulent spot is found to take a bullet-shaped form that becomes more distinct and increases its spreading rate for higher Reynolds number. The Blasius wall jet is matched to the measured flow in an experimental wall-jet facility. Both the linear and nonlinear regime of introduced waves and streaks are investigated and compared to measurements. It is demonstrated that the streaks play an important role in the breakdown process where they suppress pairing and enhance breakdown to turbulence. Furthermore, statistics from the early turbulent regime are analyzed and reveal a reasonable self-similar behavior, which is most pronounced with inner scaling in the near-wall region.
Bouzayane, Sarra. "Méthode de classification multicritère, incrémentale et périodique appliquée à la recommandation pour l'aide au transfert des savoirs dans les MOOCs". Electronic Thesis or Diss., Amiens, 2017. http://www.theses.fr/2017AMIE0029.
Pełny tekst źródłaThe thesis deals with the problem of knowledge transfer in mediated environments in the era of massive data. We propose a Multicriteria Approach for the Incremental Periodic Prediction (MAI2P) of the decision class to which an action is likely to belong. The MAI2P method is based on three phases. The first consists of three steps : the construction of a family of criteria for the characterization of actions ; the construction of a representative set of “Reference actions” for each of the decision classes ; and the construction of a decision table. The second phase is based on the DRSA-Incremental algorithm that we propose for the inference and the updating of the set of decision rules following the sequential increment of the “Reference actions” set. The third phase is meant to classify the “Potential Actions” in one of the predefined decision classes using the set of inferred decision rules. The MAI2P method is validated especially in the context of the Massive Open Online Courses (MOOCs), which are e-courses characterized by a huge amount of data exchanged between a massive number of learners. It allows the weekly prediction of the three decision classes : Cl1 of the “At risk learners”, those who intend to give up the MOOC; Cl2 of the “Struggling learners”, those who have pedagogical difficulties but have no plan to abandon it ; and Cl3 of the “Leader learners”, those who can support the other two classes of learners by providing them with all the information they need. The prediction is based on data from all the previous weeks of the MOOC in order to predict the learner profile for the following week. A recommender system KTI-MOOC (Recommender system for Knowledge Transfer Improvement within a MOOC) is developed to recommend to each “At risk learner” or “Struggling learner” a personalized list of “Leader learners”. This system is based on the demographic filtering technique and aims to promote the individual appropriation, of the exchanged information, for each learner
Hodozsán, Tamás. "Timed Recidivism. In search for critical periods to supplement interventions". Thesis, Malmö universitet, Fakulteten för hälsa och samhälle (HS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-25866.
Pełny tekst źródłaWells, Daniel Patrick. "Predicting the Longevity of DVDR Media by Periodic Analysis of Parity, Jitter, and ECC Performance Parameters". BYU ScholarsArchive, 2008. https://scholarsarchive.byu.edu/etd/1530.
Pełny tekst źródłaBudanur, Nazmi Burak. "Exact coherent structures in spatiotemporal chaos: From qualitative description to quantitative predictions". Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54445.
Pełny tekst źródłaWells, Daniel Patrick. "Predicting the longevity of DVD-R media by periodic analysis of Parity, jitter, and ECC performance parameters /". Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2526.pdf.
Pełny tekst źródłaLan, Yang. "Computational Approaches for Time Series Analysis and Prediction. Data-Driven Methods for Pseudo-Periodical Sequences". Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/4317.
Pełny tekst źródłaDaughtrey, Cannon Stewart. "Pima County's Open Space Ranch Preserves: Predictive Modeling of Site Locations for Three Time Periods at Rancho Seco". Thesis, The University of Arizona, 2014. http://hdl.handle.net/10150/318809.
Pełny tekst źródłaSherman, Brook W. "The Examination and Evaluation of Dynamic Ship Quiescence Prediction and Detection Methods for Application in the Ship-Helicopter Dynamic Interface". Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/32436.
Pełny tekst źródłaThis thesis defines and examines the use of two methodical approaches to evaluating Landing Period Indicators (LPIs) and their subject ship-helicopter dynamic interface system. First a methodology utilizing the comparison of a basic transparent algorithm is detailed and a case study employing this methodology is examined. Second, a system dynamics approach is taken to pilot workload analysis, utilizing a dynamic systems model characterizing a subset of the Dynamic Interface. This approach illustrates the realistic gains in understanding and development that can be accomplished by utilizing system dynamics in the analysis of the Dynamic Interface and LPI insertion.
Master of Science
Wlodarczyk, Radoslaw Stanislaw. "Surface structure predictions and development of global exploration tools". Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät, 2015. http://dx.doi.org/10.18452/17207.
Pełny tekst źródłaThis work is a contribution in the field of theoretical chemistry and surface science. The joint computational and experimental studies investigated the atomic structure of ultrathin silica and iron-doped silica films formed on the Ru(0001) surface and water films formed on the MgO(001) surface. The atomic structure models were obtained using either the educated guess approach or the genetic algorithm that was designed and implemented within the DoDo package. The properties simulated for the resulting models are in a very good agreement with the experimental data (scanning tunnelling microscopy, infrared spectroscopy). The successful structure determination using the DoDo program shows that the genetic algorithm technique is capable of systematic and extensive exploration of the energy landscapes for 2D-periodic systems.
Hanson-Cook, Blair M. A. "Predicting Long-term Flourishing Outcomes Among Sensitive and Non-sensitive Children". University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin162765956265785.
Pełny tekst źródłaErdurmaz, Muammer Sercan. "Neural Network Prediction Of Tsunami Parameters In The Aegean And Marmara Seas". Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12605134/index.pdf.
Pełny tekst źródłaDelgadillo, Penadillo Alan Cristopher. "Valor predictívo del diagnóstico ultrasonográfico en la detección de anomalías congénitas más frecuentes en gestantes de 11 a 14 semanas atendidas en la unidad básica de atención primaria de salud - Barranco (UBAP-ESSALUD) durante el periodo enero – marzo del año 2013". Bachelor's thesis, Universidad Nacional Mayor de San Marcos, 2015. https://hdl.handle.net/20.500.12672/4319.
Pełny tekst źródłaINTRODUCTION: Congenital anomalies constitute an increasingly important for both obstetrics and neonatology for the chapter, genetics and biology; because of its relatively high frequency, the possibility of prenatal diagnosis and the tremendous progress being made to better understand the epidemiology, pathophysiology and especially the possibility of increasing early diagnosis and sometimes treat them. OBJECTIVES: To determine the predictive value of ultrasound diagnosis in detecting most common congenital anomalies in pregnant women between 11 and 14 weeks served in the Basic Unit of Primary Care Barranco (UBAP). Lima. January-March, 2013. DESIGN AND METHODS: This study is descriptive, cross-sectional, retrospective and quantitative nature. 113 medical records of pregnant patients were selected, information was collected in a data collection form, ordering the variables as age, parity and results of ultrasound examinations, and in some cases the result of amniocentesis (Test de Oro) for the subsequent comparison with ultrasound results. Data were passed to SPSS v.21 software; they were sorted and labeled variables for further analysis. RESULTS: The mean age of patients was 31.5 years; 50% have 31 years or more; the variance is 50.7; the average distances of age with respect to each average is 7.1; the most frequent ultrasound marker was found: 2.7% increased nuchal translucency and nasal bone absence of 0.9%. CONCLUSIONS: The evaluation of congenital anomalies by ultrasound should be considered a reliable method as early diagnosis because it has a higher predictive value 90%. The positive predictive value and negative predictive value of ultrasonography in contrast to cases confirmed by amniocentesis (gold standard) is 96% and 100% respectively; the sensitivity and specificity of ultrasonography is 80% and 100% respectively. KEYWORDS: conventional ultrasound, sensitivity, specificity, positive predictive value, negative predictive value, congenital anomaly.
Tesis
CHANDRASEKARAN, LATHA. "PREDICTING DISEASE INCIDENCE DUE TO CONTAMINATED INTRUSION IN A WATER DISTRIBUTION SYSTEM". University of Cincinnati / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1155506232.
Pełny tekst źródłaElmqvist-Möller, Christel. "1-D simulation of turbocharged SI engines : focusing on a new gas exchange system and knock prediction". Licentiate thesis, KTH, Machine Design (Div.), 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4218.
Pełny tekst źródłaThis licentiate thesis concerns one dimensional flow simulation of turbocharged spark ignited engines. The objective has been to contribute to the improvement of turbocharged SI engines’ performance as well as 1 D simulation capabilities.
Turbocharged engines suffer from poor gas exchange due to the high exhaust pressure created by the turbine. This results in power loss as well as high levels of residual gas, which makes the engine more prone to knock.
This thesis presents an alternative gas exchange concept, with the aim of removing the high exhaust pressure during the critical periods. This is done by splitting the two exhaust ports into two separate exhaust manifolds.
The alternative gas exchange study was performed by measurements as well as 1-D simulations. The link between measurements and simulations is very strong, and will be discussed in this thesis.
As mentioned, turbocharged engines are prone to knock. Hence, finding a method to model knock in 1-D engine simulations would improve the simulation capabilities. In this thesis a 0-D knock model, coupled to the 1-D engine model, is presented
Rosso, T. "METODI STATISTICI PER L'ANALISI E LA PREVISIONE DELLA MORTALITA' PER TUMORE". Doctoral thesis, Università degli Studi di Milano, 2015. http://hdl.handle.net/2434/344554.
Pełny tekst źródłaMeza, Córdova Ivan Arturo. "Trombocitopenia como predictor de sepsis tardía en neonatos atendidos en el Hospital III de Emergencias Grau en el periodo 2012-2013". Bachelor's thesis, Universidad Nacional Mayor de San Marcos, 2014. https://hdl.handle.net/20.500.12672/9621.
Pełny tekst źródłaDemuestra que la trombocitopenia tiene valor predictor de sepsis tardía en neonatos para una identificación precoz de este diagnóstico. El presente estudio es observacional, retrospectivo, transversal de tipo prueba diagnóstica. Se realizó en el Hospital III Emergencias Grau (H. docente). El material utilizado son las historias clínicas de neonatos con diagnóstico de sepsis tardía corroborado por dos hemocultivos positivos y un grupo control de recién nacidos sanos. Se recogió la muestra indicada. Se usó R statistic versión 2.13.2, y el paquete EPIDAT. Se aplicó un modelo de regresión logística por pasos para evaluar la capacidad predictiva de la trombocitopenia. Se evaluó la utilidad diagnóstica mediante la sensibilidad, especificidad, valor predictivo positivo y valor predictivo negativo. Finalmente mediante la curva ROC se valoró la exactitud diagnostica. Resultados: De 202 recién nacidos, 37 de ellos tuvieron sepsis tardía confirmada por hemocultivo frente a 165 controles. El germen más frecuente aislado fue Staphylococcus. Se confirmó que la trombocitopenia es un predictor estadísticamente significativo de sepsis (valor p= 0,007) e independiente de los otros factores incluidos en el modelo. La trombocitopenia muestra una sensibilidad del 18,9%, especificidad de 95,8%, valor predictivo positivo de 50% y un valor predictivo negativo de 84%. Tiene una exactitud diagnóstica regular para la detección de sepsis neonatal tardía según el área bajo la curva (prueba ROC). En concluisón se demuestra que la trombocitopenia puede ser usada como predictor de sepsis tardía con una especificidad superior al 95%, sin embargo no es suficiente para ser el único predictor de sepsis.
Tesis
Navarro, Romero Tito. "Correlación con la histología y valor predictivo de la resonancia magnética para el diagnóstico de cáncer de mama durante el periodo 2008-2013". Bachelor's thesis, Universidad Nacional Mayor de San Marcos, 2014. https://hdl.handle.net/20.500.12672/13093.
Pełny tekst źródłaTrabajo académico
Vásquez, Yap Sam Aída de Fátima. "PRISM como predictor de mortalidad en la Unidad de Cuidados Intensivos Pediátricos del Instituto Nacional de Salud del Niño, periodo enero – diciembre 2012". Bachelor's thesis, Universidad Nacional Mayor de San Marcos, 2013. https://hdl.handle.net/20.500.12672/14059.
Pełny tekst źródłaEl documento digital no refiere asesor
Determina si es adecuado el rendimiento del escore PRISM como predictor de mortalidad de los pacientes hospitalizados en la Unidad de Cuidados Intensivos Pediátricos del Instituto Nacional de Salud del Niño. Período Enero-Diciembre del 2012. El estudio es de tipo Epidemiológico, transversal y retrospectivo. Se evaluaron a 400 pacientes las cuales se atendieron en la UCIP del INSN durante el año 2012. Se estimó para las variables cualitativas la frecuencia absoluta y relativa. Para el caso de variables cuantitativas se estimaron las medidas de tendencia central como medias y medidas de dispersión como desviación estándar y rango. La discriminación se evaluó a través del análisis del área bajo la curva ROC (Receiver Operating Characteristic) IC 95%. La calibración fue evaluada con la prueba de Hosmer y Lemeshow. También se calculó el SMR (Standardized Mortality Ratio) con sus correspondientes IC 95%. El análisis se realizó con el programa estadístico SPSS versión 20. El 53.1% de los pacientes fueron de sexo masculino y el 46.9% de sexo femenino, con una edad promedio de 4.2 años (). El tiempo promedio de estancia en la unidad de cuidados intensivos fue 12.4 ± 15.8 días y el tiempo promedio de soporte mediante la ventilación mecánica fue 6.7 ± 8.5 días, el 72.3% requirieron ventilación mecánica. El 17.3% falleció de los cuales el 0.5% se realizó necropsia. Los principales diagnósticos al ingreso y egreso de los pacientes pediátricos fueron problemas postoperatorios (41.5% y 38.4% respectivamente), problemas respiratorios (24.5% y 21.4% respectivamente), Shock séptico (13.1% y 14.9% respectivamente) y problemas neurológicos (5.7% y 5.2% respectivamente). Existe relación entre el diagnóstico de shock séptico (p=0.004), postoperatorios (p<0.001), la presencia de otras enfermedades (p=0.005) al ingreso del paciente y la mortalidad del paciente pediátrico. Asimismo se encuentra relación entre el diagnóstico de Shock séptico (p<0.001), postoperatorios (p<0.001), otras enfermedades (p<0.001) en el paciente al egreso y la mortalidad del paciente pediátrico. El 91.1% de los pacientes tuvo un “Bajo Riesgo”, el 7.1% un “Moderado Riesgo” y el 1.8% “Alto Riesgo”. El estado del paciente pediátrico “Muerto” y “Vivo” se relaciona con el Score PRISM (p<0.001). El área bajo la curva ROC para PRISM fue 0,73 (IC 95% 0.659-0.802), la mortalidad estandarizada fue de 1,047 (IC: 99% de 0,56-1,81) para PRISM. Es adecuado el rendimiento del escore PRISM como predictor de mortalidad de los pacientes hospitalizados en la Unidad de Cuidados Intensivos Pediátricos del INSN-2012, sobre todo con respecto al puntaje >30 y con buen nivel de predicción para el segundo y quinto decil de la mortalidad esperada. La mortalidad estandarizada para este estudio fue1.047 (0.56-1.81). La mortalidad en la categoría de PRISM “>30” fue 71.4%, de “20-29” fue 59.3% y “<20” fue 13%. Existiendo relación estadística entre los valores del score de PRISM con mayor porcentaje de muerte (p<0.001).
Trabajo académico
Cáceres, Jara Rosa María. "Valores predictivos ecográficos y clínicos para el diagnóstico de macrosomía fetal en gestantes atendidas en el Hospital Nacional Hipólito Unanue durante el periodo 2010-2011". Bachelor's thesis, Universidad Nacional Mayor de San Marcos, 2014. https://hdl.handle.net/20.500.12672/11923.
Pełny tekst źródłaEl documento digital no refiere asesor
Determina la diferencia entre los valores predictivos ecográficos y clínicos para el diagnóstico de macrosomía fetal en el Hospital Nacional Hipólito Unánue durante el periodo 2010- 2011. Estudio observacional de tipo analítico - comparativo, retrospectivo de corte longitudinal. No se aplicó técnica de muestreo porque se realizó el registro de todos los casos durante el periodo de estudio. El tamaño de muestra fue de 340 pacientes, donde el grupo de estudio y comparativo estuvo conformado de 170 pacientes respectivamente. Para el análisis descriptivo se empleó medidas de tendencia central y de dispersión, frecuencias absolutas y relativas. Para el análisis comparativo se empleó la prueba del chi-cuadrado con un nivel de confianza al 95%, para la validez y/o confirmación de las pruebas diagnósticas se utilizó la sensibilidad, especificidad, valor predictivo positivo y negativo. Entre las características sociodemográfica el 71.2% tenían entre 20 y 34 años, con estado civil conviviente en un 70%, el grado de instrucción fue de nivel secundaria mayormente. Las características maternas evidenciaron que el 48% (83) fueron nulíparas, el 28.9% (50) fueron primíparas y sólo un 1.2% (2) fueron gran multíparas, quienes tuvieron un promedio de talla materna de 1.6±0.1 metros, un promedio de peso de 63.3±10.2 kg, con antecedentes maternos como el tener control prenatal (89.0%) y el antecedente de diabetes (0.3%). Asimismo, la edad gestacional promedio al momento del parto fue 39.0±1.0 semanas, culminando en la mayoría de casos en cesárea (66.8%). Respecto a las características fetales se observó que del sexo masculino fueron el 57.9%, y talla promedio de 51.12±2.2 cm. En la evaluación del valor predictivo de la ecografía para diagnosticar macrosomía fetal se obtuvo una sensibilidad de 77%, una especificidad de 58%, con un valor predictivo positivo 64% y valor predictivo negativo de 71%. La altura uterina (>35 cm) tuvo una sensibilidad para detectar macrosomía del 62% y una especificidad de 61%, con un valor predictivo positivo y negativo de 61% y 62%, respectivamente. El valor predictivo ecográfico es mayor que el valor predictivo clínico en el diagnóstico de macrosomía fetal.
Trabajo académico
Sadr, Faramarz. "Supervisory model predictive control of building integrated renewable and low carbon energy systems". Thesis, Loughborough University, 2012. https://dspace.lboro.ac.uk/2134/9518.
Pełny tekst źródłaTRAN, TUAN-ANH. "A la recherche du profil predictif du suicidant selon les periodes de la vie : a propos de 364 observations recueillies au c.h. vesoul en 2 ans (1988-1989)". Besançon, 1990. http://www.theses.fr/1990BESA3094.
Pełny tekst źródłaSalazar, Vargas Victoriano José. "Valoración predictiva de malignidad en tumoraciones anexiales utilizando ecografía doppler y ecografía bidimensional; en pacientes atendidas en el Servicio de Ginecología del Hospital Nacional Arzobispo Loayza durante el periodo 2007-2009". Bachelor's thesis, Universidad Nacional Mayor de San Marcos, 2010. https://hdl.handle.net/20.500.12672/13452.
Pełny tekst źródłaTrabajo académico
Trejo, Lezama Claudia Sofía, i León Enrique Albino Contreras. "CIRCUNFERENCIA DEL CUELLO COMO PREDICTOR DE VÍA AEREA DIFÍCIL EN PACIENTES CON OBESIDAD SOMETIDOS A ANESTESIA GENERAL EN EL HOSPITAL GENERAL DR. GUSTAVO BAZ PRADA EN EL PERIODO COMPRENDIDO DE JULIO A OCTUBRE DE 2013". Tesis de Licenciatura, Medicina-Quimica, 2014. http://ri.uaemex.mx/handle/123456789/14663.
Pełny tekst źródłaHigareda, Sánchez Rodolfo, i Estrada Everardo Ibarra. "Flujometría Doppler de las arterias uterinas como predictor de preeclampsia en embarazos de 18-24 semanas de gestación del hospital materno infantil del ISSEMyM en el periodo 1° de enero al 31 de diciembre del 2011". Tesis de Licenciatura, Medicina-Quimica, 2013. http://ri.uaemex.mx/handle/20.500.11799/14044.
Pełny tekst źródłaLópez, Flores Clara Vanessa, i Villafana Antonio Arzate. "Incremento del SOFA como predictor de Mortalidad a 28 días en pacientes Geriátricos admitidos en la Unidad de Terapia Intensiva del Centro Médico ISSEMYM del periodo comprendido del 1° de enero al 30 de junio del 2011". Tesis de Licenciatura, Medicina-Quimica, 2013. http://ri.uaemex.mx/handle/123456789/13883.
Pełny tekst źródłaYamada, Léia Alessandra Pinto. "Avaliação de náuseas e vômitos induzidos por quimioterapia, história de tabagismo e uso crônico de opioides como fatores de risco para náuseas e vômitos no pós-operatório (NVPO) de pacientes oncológicos: estudo observacional prospectivo". Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/5/5152/tde-12092018-095229/.
Pełny tekst źródłaIntroduction: Nausea and vomiting are the main sources of discomfort in the postoperative period and their adequate control in oncological patients is still defiant. During the evaluation of PONV risk factor it is important to better stratify the patients to be submitted to anesthesia and surgery, in order to propose interventions that lead to the decrease in PONV. In this study, we evaluated chemotherapy induced nausea and vomiting (CINV), chronic use of opioid prior to surgery and the detailed history of smoking and of smoking quitting in oncological patients. Methods: This was an observational prospective study of 1829 oncological patients submitted to surgery from May 2014 and November 2015 in the Institute of Cancer of the State of São Paulo (ICESP), Brazil. PONV was evaluated in the first 24 hours after surgery. The data was obtained by interviews and medical records consultation. Bivariate analysis was performed to study potential factors associated to PONV. Multiple logistics analysis identified a new prediction model to PONV adding detailed smoking status. Results: Incidence of PONV was of 30.8%. There was correlation among PONV and female sex, age, non-smoking, CINV and previous motion sickness. Risk of PONV was of 14.1% in smokers, 18.1% in individuals that quit smoking in less than a month, 24.7% in individuals that quit smoking between one and six months, 29.4% in those who quit smoking more than six months and 33.9% in individuals that never smoked. This correlation generated a new PONV prediction model, including detailed smoking status rather than the Apfel dichotomous variable of smoking (yes/no), ROC curve using Apfel´s model - AUC - 63.7% and new model - 67.9%. There was no correlation between type of surgery, chronic opioid use and PONV. Conclusion: Female sex, age, non-smoking, CINV, previous motion sickness was confirmed as risk factors for PONV and a new PONV prediction model was identified through the association between PONV and the detailed history of smoking and smoking quitting in the oncological population
Rodríguez, Jave Líz Araceli Sotelo Canahualpa Fiorella Yurico. "Valor predictivo del índice de pulsatilidad promedio de las arterias uterinas en la detección precoz de preeclampsia en las gestantes entre 11 y 14 semanas que acuden a la Unidad de Medicina Fetal del INMP en el periodo de mayo del 2009 a marzo del 2010". Universidad Nacional Mayor de San Marcos. Programa Cybertesis PERÚ, 2011. http://www.cybertesis.edu.pe/sisbib/2011/rodriguez_jl/html/index-frames.html.
Pełny tekst źródłaRodríguez, Jave Líz Araceli, i Canahualpa Fiorella Yurico Sotelo. "Valor predictivo del índice de pulsatilidad promedio de las arterias uterinas en la detección precoz de preeclampsia en las gestantes entre 11 y 14 semanas que acuden a la Unidad de Medicina Fetal del INMP en el periodo de mayo del 2009 a marzo del 2010". Bachelor's thesis, Universidad Nacional Mayor de San Marcos, 2011. https://hdl.handle.net/20.500.12672/2973.
Pełny tekst źródłaTesis
Fedorková, Lucie. "Metody stabilizace nestabilních řešení diskrétní logistické rovnice". Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-400443.
Pełny tekst źródłaŠrom, Marek. "Hodnocení úspěšnosti developerského projektu". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2009. http://www.nusl.cz/ntk/nusl-222316.
Pełny tekst źródłaSvedjemo, Gustaf. "Landscape Dynamics : Spatial analyses of villages and farms on Gotland AD 200-1700". Doctoral thesis, Uppsala universitet, Arkeologi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-219237.
Pełny tekst źródłaPeñarrocha, Alós Ignacio. "Sensores virtuales para procesos con medidas escasas y retardos temporales". Doctoral thesis, Universitat Politècnica de València, 2008. http://hdl.handle.net/10251/3882.
Pełny tekst źródłaPeñarrocha Alós, I. (2006). Sensores virtuales para procesos con medidas escasas y retardos temporales [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/3882
Palancia
Smeili, Luciana Andréa Avena. "Determinação de incidência, preditores e escores de risco de complicações cardiovasculares e óbito total, em 30 dias e após 1ano da cirurgia, em pacientes submetidos a cirurgias vasculares arteriais eletivas". Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/5/5169/tde-04082015-124607/.
Pełny tekst źródłaIntroduction: Approximately 2.5 million deaths are caused by non-cardiac surgeries per year, while morbidity, represented by functional impairment and a decline in long-term survival, accounts for five times this value. Patients who require a vascular surgery are considered at an increased risk for adverse cardiovascular events in the postoperative period. However, the method for obtaining a more accurate preoperative evaluation in these patients has not yet been determined. Objective: In patients undergoing elective arterial vascular surgery, the incidence and predictors of cardiovascular complications and/or total death were determined and the performance of risk stratification models was assessed. Methods: The incidence of cardiovascular complications and death within 30 days and 1 year after vascular surgery was determined in consecutive adult patients operated in a tertiary hospital. Univariate comparison and logistic regression analysis were used to evaluate risk factors associated with the outcome, and the receiver operating characteristic (ROC) curve determined the discriminatory capacity of the Revised Cardiac Risk Index (RCRI) and the Cardiac Risk Index of the New England Vascular Surgery Group (VSG-CRI). Results: In all, 141 patients (mean age, 66 years; 65% men) underwent vascular surgery, namely for the carotid arteries (15 [10.6%]), inferior limbs (65 [46.1%]), abdominal aorta (56 [39.7%]), and others (5 [3.5%]). Cardiovascular complications and death occurred in 28 (19.9%) and 20 (14.2%) patients, respectively, within 30 days after surgery, and in 20 (16.8%) and 10 (8.4%) patients, respectively, between 30 days and 1 year after the surgical procedure. Combined complications occurred in 39 patients (27.7%) within 30 days and in 21 patients (17.6%) between 30 days and 1 year after surgery. The risk predictors for cardiovascular events that occurred within 30 days were age, obesity, stroke, poor functional capacity, transitory myocardial hypocaptation on scintigraphy, open surgery, aortic surgery, and abnormal troponin levels. The RCRI and VSG-CRI showed an under the curve area of 0.635 and 0.639 for early cardiovascular complications as well as of 0.562 and 0.610 for death within 30 days, respectively. Based on the predictors found in this study, a new preoperative score was proposed, based on an AUC of 0.747 obtained for early cardiovascular complications and an intraoperative score that presented an AUC of 0.840 for death within 30 days. For late events (between 30 days and 1 year), the predictors were poor functional capacity, systolic blood pressure, presence of transitory myocardial hypocaptation on scintigraphy, class > II American Society of Anesthesiologists Physical Status score, RCRI (AUC= 0.726), and abnormal troponin levels. Conclusions: In this small group of patients with increased clinical complexity who underwent arterial surgery, the incidence of adverse events was high. In our series, we found that RCRI and VSG-CRI do not reasonably predict the risk of cardiovascular complications. The predictive capacity of a modified preoperative score and evaluating the risk preoperatively and early postoperatively, such as that simulated in this study, may be more effective in determining the risk of complications
Chen, Bing-Chuan, i 陳炳全. "Prediction for Non Periodic Hospital Building Maintenance Cost by Using Markov Chain". Thesis, 2009. http://ndltd.ncl.edu.tw/handle/86968330766959981537.
Pełny tekst źródła國立臺灣大學
土木工程學研究所
97
The architectural functions of a hospital building are more complex than commercial or residential building. Once the hospital building maintenance is neglected, not only will there be a high cost of repair but also a loss of human lives. A recent accident at National Taiwan University Hospital (NTUH) has revealed the significance of hospital building maintenance. For providing long-term medical services, the hospital equipments play an irreplaceable role in quality assurance of medical care. As the economy suffers in recent years, the government’s fund for hospital preservation also declines. Consequently, there is an increase in difficulty to manage a hospital. A few publications have initiated interviews and surveys, but lacks of historical records for prediction. Using the East Site of Taiwan National University as the case study, this research analyzes the current hospital building maintenance record and predicts non-periodical maintenance cost for future. Markov Process is a prediction method that utilizes present information to describe future condition. The future condition is assumed by reviewing the changes of the past years. With detail review of 5,028 records of hospital building maintenance over the last ten years, this study proposes a cost prediction model for non-periodical maintenance by using Markov Chain as the methodology. Variables including frequency and cost are also taken into consideration to enhance accuracy. This hospital building maintenance prediction model could be a reference for hospital management to budget more effectively for the coming year. It can also check the rationality of present budget mechanism.
Wong, Mun-Hou, i 黃文浩. "Long-Term User Location Prediction Using Deep Learning and Periodic Pattern Mining". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/825dbn.
Pełny tekst źródła國立交通大學
資訊科學與工程研究所
105
In recent years, with the advances in mobile communication and growing popularity of the fourth-generation mobile network along with the enhancement in location positioning techniques, mobile devices have generated extensive spatial trajectory data, which represent the mobility of moving objects. New services are emerged to serve mobile users based on their predicted locations. This thesis is concerned with the long-term location prediction of a user. Most of the existing studies on location prediction can only predict one next location of a user, which is regarded as short-term next location prediction, and they are not applicable for long-term location predictions. We believe that if we can improve the accuracy of long-term next location prediction predict, every current service that takes benefits of predictability on next location can be further extended. In this thesis, we propose a prediction framework named LSTM-PPM that utilises deep learning and periodic pattern mining for effective long-term location prediction. Our framework devises the ideology from natural language model and uses multi-step recursive strategy to perform long-term prediction. To reduce the accumulated loss in multi-step strategy, we utilise further the periodic pattern mining technique. Through empirical evaluation on a real-life trajectory data, our framework is shown to provide effective performance in long-term location prediction.
Wong, Geraldine H. "Drought predictions: applications in Australia". Thesis, 2010. http://hdl.handle.net/2440/64290.
Pełny tekst źródłaThesis (Ph.D.) -- University of Adelaide, School of Mathematical Sciences, 2010
Ulhaq, Richa Etika, i 烏堤卡. "Three-Year Periods Watchdog Events for Predicting Crisis Phase Using Taiwan Listed Companies Dataset". Thesis, 2019. http://ndltd.ncl.edu.tw/handle/2a6qc2.
Pełny tekst źródła國立中央大學
資訊工程學系
107
While many studies focused on predicting bankruptcy by using financial ratios or combining them with corporate governance indicators, this study pursue a crisis events which causes lose to a company to predict their first crisis which can be an initial step to prevent them to be bankrupt in the future. Recorded events information-gathered by watchdog dataset of Taiwan listed companies-before the financial crisis happened in a company can be used to predict financial crisis in a company. This study focus on the prediction start from three year periods before first crisis happened in a company using statistical and machine learning method which is motivated with the research question: could the chosen watchdog events help to improve the performance of crisis prediction start from three years before first crisis? To acknowledge this question, a proposed model is built by a combination of financial ratios and five events gathered by watchdog using Taiwan listed companies.
"Integrated Predictive Model for Healing and Fatigue Endurance Limit for Asphalt Concrete". Doctoral diss., 2012. http://hdl.handle.net/2286/R.I.14701.
Pełny tekst źródłaDissertation/Thesis
Ph.D. Civil and Environmental Engineering 2012
LU, CHI-CHUN, i 盧其君. "A Comparative Analysis of the Establishment of Stock Prediction Model based on the Fama-French Three Factor Model of Pre- and Post-financial Tsunami Periods". Thesis, 2016. http://ndltd.ncl.edu.tw/handle/hjndf5.
Pełny tekst źródła國立臺北大學
國際財務金融碩士在職專班
104
This study investigates the impacts of the Fama-French three-factor model, market and financial information on individual stock returns. In addition, the study also investigates and compares the differences between pre- and post 2008 financial Tsunami periods. Annual data, ranging from 2003 to 2014, were collected from the top 100 listed companies using Taiwan Economic Journal database. Multiple regression analysis is employed to analyze the full sample, pre- and post- the Financial Tsunami periods. The empirical findings are summarized as follows: First, both the annual rate of return of Taiwan Stock Weighted Index and P/B ratio have significant impacts on stock returns. Secondly, the financial information such as dividend yield, the annual turnover rate, revenue growth, net income growth rates have significant impacts on stock returns. Thirdly, the comparison between the pre- and post- the financial Tsunami, financial information such as dividend yield, the annual turnover rate, the return on assets, revenue growth, net income growth rates have significant impacts on stock returns
Bandarabadi, Mojtaba. "Low-complexity measures for epileptic seizure prediction and early detection based on classification". Doctoral thesis, 2015. http://hdl.handle.net/10316/27608.
Pełny tekst źródłaThis thesis concerns the problems of epileptic seizure prediction and detection. We analyzed multichannel intracranial electroencephalogram (iEEG) and surface electroencephalogram (sEEG) recordings of patients suffering from refractory epilepsy, to access the brain state in real time by using relevant EEG features and computational intelligence techniques, and aiming for detection of pre-seizure state (in the case of prediction) or seizure onset times (in the case of detection). Our main original contribution is the development of a novel relative bivariate spectral power feature to track gradual transient changes prior to ictal events for real-time seizure prediction. Furthermore a novel robust and generalized measure for early seizure detection is developed, aimed to be used in closed-loop neurostimulation systems. The development of a general platform embeddable on a transportable low-power-budget device is of utmost importance, for real time warning to patients and their relatives about the impending seizure or beginning of an occurring seizure. The portable device can also be integrated to work in conjunction with a closed-loop neurostimulation or fast-acting drug injection mechanism to eventually disarm the impending seizure or to suppress the just-occurring seizure. Therefore, in this thesis we try to meet the dual-objective of developing algorithms for seizure prediction and early seizure detection that provide high sensitivity and low number of false alarms, fulfilling the requirements of clinical applications, while being low computational cost. To seek the first objective, a patient-specific seizure prediction was developed based on the extraction of novel relative bivariate spectral power features, which were then preprocessed, dimensionally reduced, and classified using a machine-learning algorithm. The introduced feature bears low complexity, and was discriminated using the powerful support vector machine (SVM) classifier. We analyzed the preictal EEG dynamics across different brain regions and throughout several frequency bands, using relative bivariate features to uncover the underlying mechanisms ending in epileptic seizures. The suggested prediction system was evaluated on long-term continuous sEEG and iEEG recordings of 24 patients, and produced statistically significant results with average sensitivity of 75.8% and false prediction rate of 0.1 per hour. Furthermore a novel statistical method was developed for proper selection of preictal period, and also for the evaluation of predictive capability of features, as well as for the predictability of seizures. The method uses amplitude distribution histograms (ADHs) of the features extracted from the preictal and interictal iEEG and sEEG recordings, and then calculates a criterion of discriminability among two classes. The method was evaluated on spectral power features extracted from monopolar and bipolar iEEG and sEEG recordings of 18 patients, in overall consisting of 94 epileptic seizures. To approach the objective of early seizure detection, we have formulated power spectral density (PSD) of bipolar EEG signal in the form of a measure of neuronal potential similarity (NPS) between two EEG signals. This measure encompasses the phase and amplitude similarities of two EEG channels in a simultaneous fashion. The NPS measure was then studied in several narrow frequency bands to find out the most relevant sub-bands involved in seizure initiations, and the best performing ratio of two NPS measures for seizure onset detection was determined. Evaluating on long-term continuous iEEG recordings of 11 patients with refractory partial epilepsy (overall of 1785 h and 183 seizures) the results showed high performance, while requiring a very low computational cost. On average, we could achieve a sensitivity of 86.3%, a low false detection rate (FDR) of 0.048/h, and a mean detection latency of 14.2s from electrographic seizure onsets, while in average preceding clinical onsets by 1.1s. Apart from the above mentioned primary objectives, we introduced two new and robust methods for offline or real-time labelling of epileptic seizures in long-term continuous EEG recordings for further studies. Methods include mean phase coherence estimated from bandpass filtered iEEG signals in specific frequency bands, and singular value decomposition (SVD) of bipolar iEEG signals. Both methods were evaluated on the same dataset employed in the previous study and demonstrated sensitivity of 84.2% and FDR of 0.09/h for sub-band mean phase coherence, and sensitivity of 84.1% and FDR of 0.05/h for bipolar SVD, on average. Most of this work was established in collaboration with the EPILEPSIAE project, aimed to predict of pharmacoresistant epileptic seizures. The developed methods in this thesis were evaluated by the accessibility of long-term continuous multichannel EEG recordings of more than 275 patients with refractory epilepsy, referred to as The European Epilepsy Database. This database was collected by the three clinical centers involved in EPILEPSIAE, and contains well-documented metadata. The results of this thesis are backing the hypothesis of the predictability of most of epileptic seizures using linear bivariate spectral-temporal brain dynamics. Moreover, the promising results of early seizure detection sustain the feasibility of integrating the proposed method with closed-loop neurostimulation systems. We hope the developed methods could be a step forward towards the clinical applications of seizure prediction and onset detection algorithms.
Esta tese versa os problemas de predição e de deteção de crises epiléticas. Analisa-se o eletroencefalograma multicanal intracraniano (iEEG) e de superfície (sEEG) de pacientes que sofrem de epilepsia refratária, para a estimação em tempo real do estado cerebral, usando características relevantes do EEG e técnicas de inteligência computacional, ambicionando a deteção do estado pré-ictal (no caso de previsão) ou dos instantes de início de uma crise (no caso de deteção). A principal contribuição original é o desenvolvimento de uma característica de potência espectral bivariada relativa para captar as mudanças transitórias graduais que levam a crises e que poderão ser usadas para previsão em tempo real. Além disso, é desenvolvida uma nova medida, robusta e generalizada para a deteção precoce, destinada a ser utilizada em sistemas de neuro estimulação em malha fechada. O desenvolvimento de uma plataforma geral possível de ser integrada num dispositivo transportável, energeticamente económico, é de grande relevância para o aviso em tempo real do doente e dos seus próximos sobre a eminência da ocorrência de uma crise. O dispositivo transportável também pode ser usado em malha fechada com um neuro estimulador ou com um dispositivo de injeção rápida de um fármaco que desarme eventualmente a crise em curso. Por isso nesta tese persegue-se o objectivo de desenvolver algoritmos para previsão mas também para deteção de crises. Em ambos os casos, pretende-se que os algoritmos tenham uma elevada sensibilidade e uma baixa taxa de falsos positivos, tornando viável a sua utilização clínica. Para o objectivo de previsão, desenvolveu-se um método de previsão personalizado baseado na extração de uma característica nova, denominada de potência relativa espectral bivariada, que foi submetida a pre-processamento, redução de dimensão e classificação com Máquinas de Vetores de Suporte (SVM). Esta nova característica, de baixa complexidade, é computacionalmente simples, mas permite a análise da dinâmica do EEG preictal em diferentes regiões do cérebro e ao longo de várias bandas de frequência, de modo a descobrir os mecanismos subjacentes às crises epiléticas. O sistema de previsão obtido foi avaliado em registos contínuos de sEEG e iEEG de 24 pacientes, e produziu resultados estatisticamente significativos com sensibilidade média de 75.8% e taxa de predição falsa de 0.1 por hora. Além disso, foi desenvolvido um novo método estatístico para a seleção apropriada do período preictal, e também para a avaliação da capacidade preditiva das características, assim como para a própria previsibilidade das crises. O método utiliza os histogramas de distribuição de amplitude (ADHS) das características extraídas nos períodos pré-ictal e ictal dos registos de iEEG e sEEG e, em seguida, calcula um critério de discriminabilidade entre as duas classes. O método foi avaliado nas características de potencia espectral extraídas de registos iEEG e sEEG, monopolares e bipolares de 18 pacientes, consistindo num número total de crises epilépticas de 94. O segundo objetivo, a deteção precoce de crises, foi abordado através da formulação da densidade de potência espectral (PSD) de canais de EEG bipolares na forma de uma medida da similaridade do potencial neuronal (NPS) entre dois sinais de EEG. Esta medida usa as similaridades entre as fases e as amplitudes de dois canais de EEG de um modo simultâneo. A medida NPS foi estudada em várias bandas estreitas de frequência de modo a descobrir-se quais as sub-bandas mais envolvidas na inicialização das crises; buscou-se assim a melhor razão entre duas NPS do ponto de vista da deteção precoce. Avaliadas em iEEG contínuos de longa duração de 11 doentes com epilepsia refratária parcial (num total de 1785 h e 183 crises), os resultados apresentam um desempenho com sensibilidade de 86.3% e taxa de deteção falsa (FDR) de 0.048/h, uma latência de 14.2s em relação ao início eletrográfico, sendo uma crise detetada em média 1.1s antes da sua manifestação clínica. Para além dos objetivos principais referidos acima, introduziram-se dois novos métodos, robustos, para etiquetagem em diferido e em tempo real das crises em registos contínuos de EEG de longa duração para estudos posteriores. Esses métodos incluem a coerência de fase média (mean phase coherence) estimada a partir de registos iEEG em bandas de frequência específicas (usando filtros passa-banda), e a decomposição em valores singulares (SVD) de sinais iEEG bipolares. Ambos os métodos foram avaliados no mesmo conjunto de dados do estudo anterior e apresentaram, em média, uma sensibilidade de 84.2% e um FDR de 0.09/h para a coerência de fase média calculada para as sub-bandas, e sensibilidade de 84.1% e FDR de 0.05/h para a metodologia que usa a decomposição SVD bipolar. Grande parte deste trabalho foi feito no âmbito do projeto EPILEPSIAE, visando a previsão de crises em doentes epiléticos fármaco-resistentes. Os métodos desenvolvidos nesta tese aproveitaram a acessibilidade aos dados bem documentados de mais de 275 pacientes que constituem a Base de Dados Europeia de Epilepsia (European Epilepsy Database), provenientes dos três centros hospitalares participantes no projeto. Os resultados desta tese apoiam a hipótese da previsibilidade da maioria das crises epiléticas usando dinâmicas cerebrais bivariadas lineares espetrais e temporais. Além disso os resultados são promissores relativamente à deteção precoce de crises e sustentam a fazibilidade da integração desses métodos com técnicas de neuroestimulação em malha fechada. Esperamos que os métodos desenvolvidos resultem num avanço no que respeita à aplicação clínica de algoritmos de previsão e deteção de crises.
FCT - SFRH/BD/71497/2010