Abstract
A prototype Medical Decision Making System (MDMS) based on feed forward Artificial Neural Networks (fANNs) and its software implementation as an application of ‘smart phone’ devices, is the topic of this article. An MDMS, generally structured to cover categories of distressed body organs, is presented, focusing on the full spectrum of Pulmonary Diseases (PDs). The fANNs that compose this MDMS have been taught by using real world patients’ clinical data. The fANNS have been taught on a powerful PC and their weights ported to be used as a part of a wide range ‘smart phone’ devices’ applications software.
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Economou, GP.K., Papaioannou, V. (2013). Medical Decision Making via Artificial Neural Networks: A Smart Phone-Embedded Application Addressing Pulmonary Diseases’ Diagnosis. In: Iliadis, L., Papadopoulos, H., Jayne, C. (eds) Engineering Applications of Neural Networks. EANN 2013. Communications in Computer and Information Science, vol 384. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41016-1_17
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DOI: https://doi.org/10.1007/978-3-642-41016-1_17
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