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This paper presents a first approach to try to determine if a newborn will be macrosomic before the labor, using a set of data taken from the mother. The problem of determining if a newborn is going to be macrosomic is important in order to plan cesarean section and other problems during the labor. The proposed model to classify the weight is a neural network whose design is based recent algorithms...
In current Proteomics research, prediction of protein-protein interactions (PPIs) is one of the main goals, since PPIs explain most of the cellular biological processes. In the present work, we propose a method for prediction of protein-protein interactions in yeast. Our proposal is based on the well-known classification paradigm called support vector machines and a well-known feature selection method...
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