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As a part of the automatic study of visual attention of affected populations with neurodegenerative diseases and to predict whether new gaze records a complaint of these diseases, we should design an automatic model that predicts salient areas in video. Past research showed, that people suffering form dementia are not reactive with regard to degradations on still images. In this paper we study the...
Many researchers across diverse disciplines aim to analyze the behavior of cohorts whose behaviors are recorded in large event databases. However, extracting cohorts from databases is a difficult yet important step, often overlooked in many analytical solutions. This is especially true when researchers wish to restrict their cohorts to exhibit a particular temporal pattern of interest. In order to...
With the frequent appearance and spread of infectious diseases and their casualties in major populated areas, many researchers and organizations became interested to find different ways to forecast the spread behaviors of these diseases before they occur. This can allow them to better prepare and confine the disease in small regions and therefore reduce the loss of human lives. In this paper we study...
This paper presents a hybrid simulation model for the management of an eye condition called age-related macular degeneration, which particularly affects the elderly. The model represents not only the detailed clinical progression of disease in an individual, but also the organization of the hospital clinic in which patients with this condition are treated and the wider environment in which these patients...
Large-scale simulations are increasingly used to evaluate potential public health interventions in epidemics such as the H1N1 pandemic of 2009. Due to variations in both disease scenarios and in interventions, it is typical to run thousands of simulations as part of a given study. This paper addresses the challenge of visualizing the results from a large number of simulation runs. We describe a new...
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