Requisitos en la infraestructura de red para servicios de comunicación entre paciente y centro sanitario

El presente Proyecto Fin de Carrera consiste en un estudio de los accesos a red que utilizan los servicios a los que están adscritos los usuarios de servicios de teleasistencia, planteando al final del mismo un modelo de previsión de caídas que permita que ese acceso a red no sea un problema para la prestación del servicio. Para poder llegar a los objetivos anteriormente descritos, iniciaremos este documento presentando qué se entiende actualmente como servicios de telemedicina y teleasistencia. Prestaremos atención a los actores que intervienen, usos y beneficios que tienen tanto para los pacientes como para las administraciones públicas. Una vez sepamos en qué consisten, centraremos la atención en las redes de acceso que se utilizan para prestar los servicios de telemedicina, con sus ventajas y desventajas. Puesto que no todos los servicios tienen los mismos requisitos generales de fiabilidad o velocidad de transmisión, veremos cómo se puede garantizar las necesidades de cada tipo de servicio por parte del proveedor de red. El siguiente paso para llegar a establecer el modelo de previsión de caídas será conocer las necesidades técnicas y de los actores para prestar un servicio de teleasistencia en el hogar de un paciente. Esto incluirá estudiar qué equipos se necesitan, cómo gestionarlos y cómo marcar el tráfico para que el operador de red sepa cómo tratarlo según el servicio de teleasistencia que se está utilizando, llevando a generar un modelo de supervisión de enlaces de teleasistencia. Llegados a este punto estaremos ya preparados para establecer un modelo de previsión de caídas de la conexión, describiendo la lógica que se necesite para ello, y poniéndolo en práctica con dos ejemplo concretos: un servicio de telemonitorización domiciliaria y otro servicio de telemonitorización ambulatoria. Para finalizar, realizaremos una recapitulación sobre lo estudiado en este documento y realizaremos una serie de recomendaciones. ABSTRACT. This Thesis is a study of the access network to be used with services assigned to patients that are users of telecare services. In the last chapter we will describe a fall forecasting model that allows the access network to not be an issue for the service. For achieving the objectives described above, this paper will begin with the presentation of what is now understood as telemedicine and telecare services. We pay attention to the actors involved, uses and benefits that they have both for patients and for public administrations. Once we know what telecare means and what requisites they have, we will focus on access networks which are used to provide telemedicine services, with their advantages and disadvantages. Since not all services have the same general requirements of reliability and transmission speed, we will try to see how you can ensure the needs of each type of service from the network provider's point of view. The next step is to establish that the forecasting model of falls will meet the technical needs and actors to provide telecare service in the home of a patient. This will include a study of what equipment is needed, how to manage and how to mark traffic for the network operator knowing how to treat it according to the telecare service being used, and this will lead us to the creation of a model of telecare link monitoring. At this point we are already prepared to establish a forecasting model of connection drops, describing the logic that is needed for this, and putting it into practice with two concrete examples: telemonitoring service and an ambulatory telemonitoring service. Finally, we will have a recap on what has been studied in this paper and will make a series of recommendations.

Optimal Combined Forecasts for Electricity Prices: Influence of Clean Energies

In this work, an electricity price forecasting model is developed. The performance of the proposed approach is improved by considering renewable energies (wind power and hydro generation) as explanatory variables. Additionally, the resulting forecasts are obtained as an optimal combination of a set of several univariate and multivariate time series models. The large computational experiment carried out using out-of-sample forecasts for every hour and day allows withdrawing statistically sound conclusions

Party Members as an Electoral Linking Mechanism

While party membership figures are clearly in decline in several Western countries, different interpretations have been offered on the likely consequences of this trend. Some authors stress that members have lost most of their importance for political parties that increasingly rely on professionalized campaign techniques. Other scholars have expressed concern about the decline of party membership. They emphasize the fact that party members continue to function as an important linkage mechanism providing a structural alignment between the party and society (and thus also to potential voters). By means of an election forecasting model for Belgium, we test whether party membership figures still can be related to election results. Results show that party membership has a strong effect on election results, and furthermore, that this relation does not weaken during the period under investigation (1981-2010). The analysis also demonstrates that forecasting models can also be used in a complex multiparty system like Belgium.

Party Members as an Electoral Linking Mechanism

While party membership figures are clearly in decline in several Western countries, different interpretations have been offered on the likely consequences of this trend. Some authors stress that members have lost most of their importance for political parties that increasingly rely on professionalized campaign techniques. Other scholars have expressed concern about the decline of party membership. They emphasize the fact that party members continue to function as an important linkage mechanism providing a structural alignment between the party and society (and thus also to potential voters). By means of an election forecasting model for Belgium, we test whether party membership figures still can be related to election results. Results show that party membership has a strong effect on election results, and furthermore, that this relation does not weaken during the period under investigation (1981-2010). The analysis also demonstrates that forecasting models can also be used in a complex multiparty system like Belgium.

Disastrous floods on the Trinity, Red, and Arkansas rivers : May 1990.

Shipping list no.: 91-580-P.

Tsunami engineering /

Cover title.

The modernized end-to-end forecast process for quantitative precipitation information : hydrometeorological requirements, scientific issues, and service concepts /

"January 1999."

A rainfall-runoff modeling procedure for improving estimates of T-year (annual) floods for small drainage basins /

Mode of access: Internet.

Tropical Storm Alberto heavy rains and flooding, Georgia, Alabama, Florida, July 1994.

"December 1995."

Evaluation of peak-flow data network of small streams in Missouri /

Mode of access: Internet.

Notifying floodplain residents : assessment of public information programs /

"March 4, 1983"

Techniques for estimating magnitude and frequency of floods on streams in Indiana /

Mode of access: Internet.

Simulation of dynamic floodflows at gaged stations in the southeastern United States /

Tables.

The role of longevity risk in Hungary

In this paper, I analyze the role of longevity risk in Hungary in the public pension system and the life annuity segment of the life insurance market, which are two primary financial sectors of relevance to this special type of actuarial risk, using state-of-the- art econometric methodology. To this end, I present an overview and the mathematical background of several important current mortality forecasting techniques from the Lee–Carter model up to unifying paradigm of the Age–Period–Cohort family of models. After presenting the findings of a case study on the public pension system based on the paper of Bajk ́o, Maknics, T ́oth and V ́ekas, I conclude that longevity risk jeopardizes the sustainability of the Hungarian public pension system in the long run. In another case study, I present an analysis of the role of longevity risk in the pre- mium of private pension annuities, a relevant topic due to recent changes in a law on Hungarian voluntary pension funds, following an earlier analysis of M ́ajer and Kov ́acs. Based on the criterion on out-of-sample forecasting accuracy, I find that the Cairns–Blake– Dowd mortality forecasting model aimed specifically at modeling old-age mortality outperforms the Lee–Carter model applied by M ́ajer and Kov ́acs . Based on numerical results, I finally conclude that the role of longevity risk in the Hungarian life annuity mar- ket has increased significantly in the past decade and is likely to further increase in the future.