Artificial neural networks in medical decision making systems: an application to pulmonary diseases' diagnosis through VHDL synthesis

A prototype medical decision making system (MDMS) based on a powerful subclass of artificial neural networks (ANNs) and its hardware description using VHDL, is the topic of this article. This MDMS, is generally structured to cover a whole category of distressed body organs. An application to the full spectrum of pulmonary diseases (PDs) is presented, whereas the ANNs that compose this MDMS have been taught by using real-world patients' clinical data. The VHDL language provides the means to both realize the proposed platform and optimize the synthesized implementation hardware.< >