Anzeige
Erschienen in:
2017 | OriginalPaper | Buchkapitel
Determination of Probabilistic Neural Network’s Accuracy in Context of Cardiac Stress Test
verfasst von : Sabina Baraković, Jasmina Baraković Husić, Fahir Baraković
Erschienen in: CMBEBIH 2017
Verlag: Springer Singapore
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
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.