Alzheimer's Disease Classification

One of big medical issues which is progressive and prevalent is known as Alzheimer's Disease (AD). It is related to biochemical and structural alterations in a brain, where it leads to the gathering certain proteins. Such alterations cause eventual destruction and progressive shrinkage for brain cells, highlighting AD as a significant neurodegenerative medical issue. This book suggests hybrid Artificial Intelligence (AI) approaches. Each one of them can optimize a Convolutional Neural Network (CNN) architecture with its hyperparameters. The used approaches are called: Optimized CNN by Optuna (OCNNO) and Optimized CNN by Keras-Tuner (OCNNKT). AD system is also suggested and implemented. It utilizes software and hardware components, like Python and Raspberry Pi 5 (RP5). The system has the ability to diagnose (or classify) AD into its level of: Very Mild Dementia (VMD), Moderate Dementia (MoD), Mild Dementia (MD) and Non-Dementia (ND). It has other facilitates as providing quick assessment and useful communication with healthcare professionals.