Affiliation:
1. Vellore Institute of Technology, Chennai, India
2. Ramco Institute of Technology, India
Abstract
This chapter offers an in-depth exploration of gadget gaining knowledge of models for Alzheimer's ailment detection, with a particular cognizance on deep mastering methods. Alzheimer's disease is a complicated and debilitating neurological disorder, and early detection is vital for powerful remedy and control. The usage of machine getting to know techniques has proven notable potential in enhancing the accuracy and efficiency of Alzheimer's ailment detection. via a comprehensive review and evaluation of modern literature, this chapter objectives to offer a complete review of the unique machine learning fashions, inclusive of traditional and deep gaining knowledge of methods, used for Alzheimer's sickness detection. The chapter will also discuss the blessings and obstacles of these fashions and spotlight ability regions for future research. ordinary, this paper aims to make a contribution to the developing frame of understanding at the utility of machine mastering in Alzheimer's ailment detection and offer insights for enhancing the accuracy and effectiveness of early prognosis.
Reference19 articles.
1. Exploring the current and prospective role of artificial intelligence in disease diagnosis
2. A scoping review of neurodegenerative manifestations in explainable digital phenotyping. npj;H.Alfalahi;Parkinson’s Disease,2023
3. Information fusion and artificial intelligence for smart healthcare: a bibliometric study
4. A study on performance optimization in healthcare and its impact on patients satisfaction’.;P.Dhote;The Journal of Research Administration,2024
5. EskandarK. (2023). Artificial Intelligence in Healthcare: Explore the Applications of AI in Various Medical Domains, Such as Medical Imaging, Diagnosis, Drug Discovery, and Patient Care, 4, 37–53.