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Comprehensive Systematic Computation on Alzheimer's Disease Classification
Alzheimer's disease (AD) is a degenerative neurological ailment that progressively affects a
large number of individuals globally. Timely and precise diagnosis of this ailment is crucial …
large number of individuals globally. Timely and precise diagnosis of this ailment is crucial …
An efficient secure sharing of electronic health records using IoT-based hyperledger blockchain
Abstract Electronic Health Record (EHR) systems are a valuable and effective tool for
exchanging medical information about patients between hospitals and other significant …
exchanging medical information about patients between hospitals and other significant …
Deep belief networks (DBN) with IoT-based Alzheimer's disease detection and classification
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 …
dementia in older people goes, Alzheimer's disease (AD) is by far the most prevalent form …
A gradient boosted decision tree-based influencer prediction in social network analysis
Twitter, Instagram and Facebook are expanding rapidly, reporting on daily news, social
activities and regional or international actual occurrences. Twitter and other platforms have …
activities and regional or international actual occurrences. Twitter and other platforms have …
Prediction of Alzheimer's disease stages based on ResNet-Self-attention architecture with Bayesian optimization and best features selection
Alzheimer's disease (AD) is a neurodegenerative illness that impairs cognition, function, and
behavior by causing irreversible damage to multiple brain areas, including the …
behavior by causing irreversible damage to multiple brain areas, including the …
A novel feature selection with hybrid deep learning based heart disease detection and classification in the e-healthcare environment
With the advancements in data mining, wearables, and cloud computing, online disease
diagnosis services have been widely employed in the e-healthcare environment and …
diagnosis services have been widely employed in the e-healthcare environment and …
Machine Learning Approaches for Dementia Detection Through Speech and Gait Analysis: A Systematic Literature Review
Background: Dementia is a general term for several progressive neurodegenerative
disorders including Alzheimer's disease. Timely and accurate detection is crucial for early …
disorders including Alzheimer's disease. Timely and accurate detection is crucial for early …
Forecasting of e-commerce system for sale prediction using deep learning modified neural networks
E-commerce is the practice of purchasing and selling goods over the Internet. Customers
will appreciate the simplicity of not having to make physical purchases using e-primary …
will appreciate the simplicity of not having to make physical purchases using e-primary …
Oxymatrine-mediated prevention of amyloid β-peptide-induced apoptosis on Alzheimer's model PC12 cells: in vitro cell culture studies and in vivo cognitive …
Y Zhu, Z Wang, C Gao, L Zhang, R Sui - Inflammopharmacology, 2023 - Springer
Alzheimer's disease (AD) is a major neurological disease affecting elderly individuals
worldwide. Existing drugs only reduce the symptoms of the disease without addressing the …
worldwide. Existing drugs only reduce the symptoms of the disease without addressing the …
Augmented dialectal speech recognition for AI-based neuropsychological scale assessment in Alzheimer's disease
Alzheimer's disease (AD) is a prevalent and widespread neurodegenerative disorder among
the older adult population worldwide. Among the numerous cognitive screening methods …
the older adult population worldwide. Among the numerous cognitive screening methods …