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Authors:
Priscila Parede
Elvis Fusco
Caio Coneglian
Keywords: Alzheimer's Disease; Applied Behavior Analysis; Data Science; Conceptual Model.
Abstract:
Alzheimer's Disease (AD) is characterized as a neurodegenerative disorder that causes gradually progressive cognitive and functional deficits and behavioral changes. Checking for symptoms of cognitive loss and memory loss, behavioral symptoms, functional decline, and cognitive testing remain the cornerstone of clinical diagnosis and treatment of AD patients. In view of the questions raised from the experience of the researchers, as well as the results achieved by the Applied Behavior Analysis (ABA) method in patients with Autism Spectrum Disorder (ASD), and adopting an innovative perspective of the ABA method aimed at the treatment of patients with AD, we envision the possibility of supporting the ABA method with the use of Data Science (DS) techniques to enable analysis and learning based on the information generated in this process, in search of better quality of life and cognitive, speech-language and psychomotor advances in patients with AD, featuring an important interdisciplinary approach.
Pages: 89 to 92
Copyright: Copyright (c) IARIA, 2022
Publication date: June 26, 2022
Published in: conference
ISSN: 2308-4359
ISBN: 978-1-61208-984-3
Location: Porto, Portugal
Dates: from June 26, 2022 to June 30, 2022