Survey of Different Techniques to Detect Alzheimer’s Disease

Abstract

Dementia is a condition marked by the deterioration of certain cognitive faculties. The effects are a high death rate and a high cost of discovery, treatment, and patient care. Even though there’s no remedy for dementia, early location helps give required help, appropriate medication, and, to the degree attainable, keeping up mental, social, and physical exercises. Early identification of Alzheimer’s disease (AD) is critical for enhancing patients’ and their family’s quality of life. This paper shows the different works related to detecting Alzheimer’s disease with other datasets using various machine learning calculations like SVM, Irregular timberland, and Calculated relapse with diverse strategies