Detection of Alzheimer’s Disease Versus Mild Cognitive Impairment Using a New Modular Hybrid Neural Network

Autor:	Carmen Paz Suárez-Araujo, Juan L. Navarro-Mesa, Ylermi Cabrera-León, Pablo Fernández-López, Patricio García-Báez, Alberto Sosa-Marrero
Rok vydání:	2021
Předmět:	Hybrid neural network Population ageing business.industry medicine Dementia Biomarker (medicine) Disease Progressive neurodegenerative disorder Differential diagnosis medicine.disease business Cognitive impairment Neuroscience
Zdroj:	Advances in Computational Intelligence ISBN: 9783030850982 IWANN (2)
DOI:	10.1007/978-3-030-85099-9_18
Popis:	Nowadays, there is a population ageing which leads to an increasing of geriatric and non-communicable diseases. One of the major socio-sanitary challenges our society is facing is dementia, with Alzheimer’s disease (AD) as the most prevalent one. AD is a progressive neurodegenerative disorder over years, with several stages. One of them is the prodromal one, also called Mild Cognitive Impairment (MCI). Despite the recent advances in diagnostic criteria for AD, its definitive diagnosis is just possible post-mortem because there is nonspecific AD biomarker. Therefore, an early and differential diagnosis of AD is still an issue of high concern. Extensive research looking for appropriate methods of diagnosis has been done.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9d2a094b7a11091676f652d017dcd85c https://doi.org/10.1007/978-3-030-85099-9_18 Zobrazit plný text záznamu