Survey of the use of AI models and techniques in the analysis and prediction of neuro-degenerative diseases

Abstract

Abstract Neurodegenerative diseases are caused by the gradual breakdown of the nerve connections. The detection and prediction of these diseases has been attempted with a variety of different artificial intelligence techniques, using the wide range of modalities available resulting in variations in accuracy and other metrics. This paper aims to offer a methodical as well as quantitative comparison among the various predictive methodologies that have been conducted for three neurodegenerative diseases, namely Alzheimer’s, Schizophrenia and Dementia. Lastly this paper focuses on the variation in occurrences of these diseases with changing demographics such as age, sex and location.