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Titlebook: Computational Medicine in Data Mining and Modeling; Goran Rakocevic,Tijana Djukic,Veljko Milutinović Book 2013 Springer Science+Business M

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https://doi.org/10.1007/978-0-387-73251-0sed setting, we also need to know the value of this target variable for a set of training examples (i.e., patient records). In the case study presented in this chapter, the value of the considered target variable that can be used for training is the ground truth characterizations of the coronary art
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Experiments and Observational Studies, an optimal path finding through a graph called Bayesian network, has been (and still is) successfully applied in so-called sequential diagnostics, when the large amount of reliable relevant data is available. The graph (network) represents our knowledge about connections between studied medical ent
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Longitudinal and Time-Series Analysis, powerful numerical tools have been developed which make efficient use of memory resources and computation time and render the solution of complicated transient problems for complex and nonhomogeneous geometries feasible even to nonexperts in modeling. The availability of advanced computer-aided eng
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