26 resultados para Randomized Map Prediction (RMP)


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MSC Dissertation in Computer Engineering

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Dissertation presented to obtain a Masters degree in Computer Science

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Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies

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Nonlinear Dynamics, Vol. 29

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Dissertao apresentada como requisito parcial para obteno do grau de Mestre em Cincia e Sistemas de Informao Geogrfica

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Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies

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Proceedings of the European Control Conference, ECC01, Porto, Portugal, September 2001

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Thesis submitted to the Instituto Superior de Estatstica e Gesto de Informao da Universidade Nova de Lisboa in partial fulfillment of the requirements for the Degree of Doctor of Philosophy in Information Management Geographic Information Systems

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Dissertao apresentada como requisito parcial para a obteno do grau de mestre em Estatstica e Gesto de Informao.

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Dissertao apresentada como requisito parcial para obteno do grau de Mestre em Estatstica e Gesto de Informao.

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Background: Little is known about the risk of progression to hazardous alcohol use in people currently drinking at safe limits. We aimed to develop a prediction model (predictAL) for the development of hazardous drinking in safe drinkers. Methods: A prospective cohort study of adult general practice attendees in six European countries and Chile followed up over 6 months. We recruited 10,045 attendees between April 2003 to February 2005. 6193 European and 2462 Chilean attendees recorded AUDIT scores below 8 in men and 5 in women at recruitment and were used in modelling risk. 38 risk factors were measured to construct a risk model for the development of hazardous drinking using stepwise logistic regression. The model was corrected for over fitting and tested in an external population. The main outcome was hazardous drinking defined by an AUDIT score >= 8 in men and >= 5 in women. Results: 69.0% of attendees were recruited, of whom 89.5% participated again after six months. The risk factors in the final predictAL model were sex, age, country, baseline AUDIT score, panic syndrome and lifetime alcohol problem. The predictAL model's average c-index across all six European countries was 0.839 (95% CI 0.805, 0.873). The Hedge's g effect size for the difference in log odds of predicted probability between safe drinkers in Europe who subsequently developed hazardous alcohol use and those who did not was 1.38 (95% CI 1.25, 1.51). External validation of the algorithm in Chilean safe drinkers resulted in a c-index of 0.781 (95% CI 0.717, 0.846) and Hedge's g of 0.68 (95% CI 0.57, 0.78). Conclusions: The predictAL risk model for development of hazardous consumption in safe drinkers compares favourably with risk algorithms for disorders in other medical settings and can be a useful first step in prevention of alcohol misuse.

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Dissertao apresentada como requisito parcial para obteno do grau de Mestre em Estatstica e Gesto de Informao.

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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

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Leadership and Management in Engineering, January 2009

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Trabalho de Projeto apresentado como requisito parcial para obteno do grau de Mestre em Cincia e Sistemas de Informao Geogrfica