Abstract
In the last several decades the development of information-communication technology (ICT) and related fields has assisted medicine in many aspects. This paper tends to contribute to this ongoing trend by testing the accuracy of probabilistic neural network (PNN) trained to determine the results of cardiac stress test used for diagnosis of coronary/ischemic heart disease (CHD). The obtained results show that the network can determine the patients who really need immediate diagnosis treatments in the shortest time with the satisfactory accuracy. Therefore, the proposed simulations can be used for the physicians in the training process and additionally ease the work to cardiologists and improve the treatment of cardiac patients.
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Baraković, S., Husić, J.B., Baraković, F. (2017). Determination of Probabilistic Neural Network’s Accuracy in Context of Cardiac Stress Test. In: Badnjevic, A. (eds) CMBEBIH 2017. IFMBE Proceedings, vol 62. Springer, Singapore. https://doi.org/10.1007/978-981-10-4166-2_37
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DOI: https://doi.org/10.1007/978-981-10-4166-2_37
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