PID-ANN in Medical Diagnosis

The modeling addresses the medical diagnosis and a world system often presents problems. Regarding the normality of human physiological functions, the processes increase in complexity. They become less amenable to direct mathematical modeling based on physical laws since they may be distributed, stochastic, non-linear and time-varying, uncertain, etc. In this work, the system using artificial neural networks is capable to be used for medical diagnosis giving the entries of five inputs: Protein, Red blood cells, Lymphocytes, Neutrophils and Eosinophils, and taking three outputs: Normal, Hemorrhage and Brain Tumor. The medical diagnosis rules are formulated and applied using MATLAB simulation for the system. The simulation results are found in agreement with the design based calculated results. This research work proposes to develop a control system to enhance the efficiency to diagnose a disease related to human brain.