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Muhammad Irfan, Seyed Shahrestani and Mahmoud Elkhodr
Dementia, including Alzheimer?s Disease (AD), is a complex condition, and early detection remains a formidable challenge due to limited patient records and uncertainty in identifying relevant features. This paper proposes a machine learning approach to a...
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Nayef Alqahtani, Shadab Alam, Ibrahim Aqeel, Mohammed Shuaib, Ibrahim Mohsen Khormi, Surbhi Bhatia Khan and Areej A. Malibari
Dementias that develop in older people test the limits of modern medicine. As far as dementia in older people goes, Alzheimer?s disease (AD) is by far the most prevalent form. For over fifty years, medical and exclusion criteria were used to diagnose AD,...
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Rui P. Duarte, Carlos A. S. Cunha and Valter N. N. Alves
Alzheimer?s disease is a type of dementia that affects many individuals, mainly in an older age group. Over time, it leads to other diseases that affect their autonomy and independence. The quality of food ingestion is a way to mitigate the disease and p...
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Andrei Velichko, Maksim Belyaev, Yuriy Izotov, Murugappan Murugappan and Hanif Heidari
Entropy measures are effective features for time series classification problems. Traditional entropy measures, such as Shannon entropy, use probability distribution function. However, for the effective separation of time series, new entropy estimation me...
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Lucía Soliño, Sea-Yong Kim, Alfredo López, Pablo Covelo, Sara Rydberg, Pedro Reis Costa and Sandra Lage
The neurotoxin ß-N-methylamino-L-alanine (BMAA), a non-proteinogenic amino acid produced by several species of both prokaryotic (cyanobacteria) and eukaryotic (diatoms) microorganisms, has been proposed to be associated with the development of neurodegen...
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Anne-Sophie Nicolas, Michel Ducher, Laurent Bourguignon, Virginie Dauphinot and Pierre Krolak-Salmon
The evolution of functional autonomy loss leads to institutionalization of people affected by Alzheimer?s disease (AD), to an alteration of their quality of life and that of their caregivers. To predict loss of functional autonomy could optimize preventi...
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Sónia Claúdia Ribeiro, Rúben Fernandes, Felismina T. C. Moreira and Maria Goreti Ferreira Sales
This paper presents a potentiometric biosensor for the detection of amyloid ß-42 (Aß-42) in point-of-care analysis. This approach is based on the molecular imprint polymer (MIP) technique, which uses covalently immobilised Aß-42 to create specific detect...
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May Altulyan, Lina Yao, Chaoran Huang, Xianzhi Wang and Salil S. Kanhere
Recommendation systems are crucial in the provision of services to the elderly with Alzheimer?s disease in IoT-based smart home environments. In this work, a Reminder Care System (RCS) is presented to help Alzheimer patients live in and operate their hom...
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Jesús B. Alonso-Hernández, María Luisa Barragán-Pulido, José Manuel Gil-Bordón, Miguel Ángel Ferrer-Ballester and Carlos M. Travieso-González
Currently, there are more and more frequent studies focused on the evaluation of Alzheimer?s disease (AD) from the automatic analysis of the speech of patients, in order to detect the presence of the disease in an individual or for the evolutionary contr...
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Lilia Lazli, Mounir Boukadoum and Otmane Ait Mohamed
Computer-aided diagnostic (CAD) systems use machine learning methods that provide a synergistic effect between the neuroradiologist and the computer, enabling an efficient and rapid diagnosis of the patient?s condition. As part of the early diagnosis of ...
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