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Depression is a psychological disorder that is difficult to diagnose. Therefore, its early screening and accurate diagnosing are much needed. In this paper, we developed and evaluated a model that uses adolescents depression data for screening and predicting the depression based on boosting with feature selection techniques. These data have been collected from the Center for Epidemiologic Studies...
The problem of imbalanced data between classes prevails in various applications such as bioinformatics. The correctness of prediction in case of imbalanced data is usually biased towards the majority class. However, in several applications, the accuracy of prediction in minority class is also significant as much as in majority class. Previously, there were many techniques proposed to increase the...
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