A robust smart device app assisting medical diagnosis

Vaios Papaioannou, George - Peter K. Economou, Athanasios Tsakalidis


A Medical Decision Making System (MDMS) has recently been implemented as an app (lication) for Android-based Mobile “Smart” Devices (AMSDs). Feed Forward Artificial Neural Networks (fANNs) is a major element of this MDMS that has been extensively tested in the field of Pulmonary Diseases (PDs). This MDMS fANNs have been taught by using real world patients’ clinical data on a powerful Personal Computer; the MDMS modular structure and its fANNs’ weights were then ported to AMSDs to be used as a part of wide-range applications software. The Android was chosen as the devices’ Operating System (OS), due to its Linux kernel, touchscreen features, and open standards architecture.

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DOI: https://doi.org/10.5430/air.v5n2p82


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Artificial Intelligence Research

ISSN 1927-6974 (Print)   ISSN 1927-6982 (Online)

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