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Selecting an efficient classifier for medical data is considered as one of the most important part of today's computer aided diagnosis. The performance of single classifiers such as decision tree classifier can be increased by ensemble method. However, this approach relies on the data quality and missing values. In this paper, we propose a new ensemble classifier to overcome overfitting and biasness...
Human is becoming busier, and the rush hours can cause physical and mental stresses. In many countries, it is found that the patients in neurological department are increasing randomly. However, the numbers of doctors are not sufficient to serve the patients. Furthermore, at times the doctors need other doctors' opinion in supporting the decision making. This paper investigates the potential developing...
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