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    Electrocardiogram based heart disease diagnosis using artificial intelligence by Hussain Kareem, Khleaf

    Published 2015
    “…Finally, five different types of the ECG diseases are identified using various artificial intelligence types like hybrid RBFNN and hybrid PSO-RBFNN. The optimal neural network model (PSO-RBFNN) has 13 input nodes, 40 hidden nodes, and 5 output nodes signifying Angina, RBBB, MI, Normal and LBBB. …”
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    Thesis