Titlebook: 3rd Kuala Lumpur International Conference on Biomedical Engineering 2006; Biomed 2006, 11-14 D Fatimah Ibrahim,Noor Azuan Abu Osman,Nahrizu

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https://doi.org/10.1007/978-3-319-66032-5from breast lesion cells and used as the neural network inputs for the classification. Multilayered Perceptron, Radial Basis Function and Hybrid Multilayered Perceptron networks were used to perform the classification task. Unlike the previous studies that only classify the lesion into benign and ma

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https://doi.org/10.1007/978-4-431-55060-0 This system is able to classify three types of risk groups in dengue infections; higher risk, lower risk and no risk (healthy) groups. The classification process was done according to gender, reactance value of the BIA and ‘day of fever’ on a daily basis diagnosis. BIA measurements have been conduc