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In this paper, we present a statistical model performed on the basis of a patient dataset. This model predicts efficiently the brain disease risk. Multiple regression was used to build the statistical model. The least squares estimation problem usually used to estimate the parameters of regression model is solved via parallelized algebraic Adjoint method. As the parallelized algebraic Adjoint method...
Predicting Alzheimer's disease based on genetic aspects and lifestyle plays a major role in healthcare field. In this paper, we present a software solution that constructs a statistical model based on patient dataset. The outcome model allows predicting efficiently the Alzheimer's disease for eventual patients. The multiple regression is used in the current paper to construct the statistical model...
During the last decades, researchers have shown a great interest in studying the team orienteering problem due to its applications in several fields such as tourist trip planning, technician routing and athlete recruiting. Therefore, solving optimally the team orienteering problem would play a major role in logistics management. In this paper, an unprecedented heuristic is applied to the team orienteering...
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