Early Detection of Alzheimer's Disease: The Importance of Speech Analysis

Abstract

Almost 50 million individuals throughout the world suffer from Alzheimer's disease (AD), a disease of the nervous system. There are no licensed medications on the market right now that can treat AD or halt its development. There are, however, treatments available that can help mediate AD in earlier stages. This demonstrates the necessity of early diagnosis. One of the notable symptoms of Alzheimer's can be in the patient's cognitive abilities. In daily chores, there is an indication of a diminished capacity for interpreting or producing speech. As a result, natural language processing can be a useful method for analyzing patient speech. Due to the rapid advancements in the field of computer science, we can use NLP to process these speech extracts from AD patients. NLP has a great deal of potential to help individuals who are suffering from mental illnesses receive better care. The study employs various Machine Learning models with ensemble learners and Deep Learning models for a comparative analysis to set a proper baseline for further research and advancements in the detection of Alzheimer's disease.