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Cardiovascular disease risk detection using modified T-S fuzzy neural networks

For the goal of cardiovascular disease risk detection, the statistic analysis is used to reduce the dimension of feature space and normalize each input feature; the modified Takagi-Sugeno model fuzzy neural networks are applied to realize the nonlinear mapping relationship between hemodynamic parameters and conclusions, which does not require predefining rules and subjective defuzzification. The preliminary testing results prove that the proposed method is promising for e-home healthcare usage.