Cutting-Edge Optimization Stratagems Assisting Medical Experts for Complex Mechanisms Behind Health and Disease Detection: Machine Learning and Neural Networks for Patient Diagnosis

Abstract

The field of healthcare has witnessed a remarkable transformation with the advent of machine learning and artificial intelligence (AI). Among the myriad applications of AI in healthcare, one of the most promising and challenging domains is medical diagnosis and patient representation. The complexities inherent in understanding the mechanisms behind health and disease detection have driven the exploration of advanced optimization strategies to synchronize neural networks and facilitate expert decision-making. Machine learning algorithms, particularly neural networks, have demonstrated exceptional capabilities in analyzing vast volumes of medical data, from patient records and diagnostic images to genetic information. This chapter focuses on the cutting-edge optimization strategies for assisting medical experts for complex mechanisms behind health and disease detection via Centre-Stage machine learning and neural networks for patient's diagnosis.