Alzheimer's Disease (AD) is becoming increasingly prevalent across the globe, and various
diagnostic and detection methods have been developed in recent years. Several techniques …

Alzheimer's disease, which is characterized by a continual deterioration of cognitive abilities
in older people, is the most common form of dementia. Neuroimaging data, for example …

Alzheimer's disease (AD) is a progressive and irreversible neurological disorder that affects
millions of people worldwide. Early detection and accurate diagnosis of AD are crucial for …

Chronic kidney disease (CKD) refers to impairment of the kidneys that may worsen over
time. Early detection of CKD is crucial for saving millions of lives. As a result, several studies …

Since cardiovascular diseases (CVDs) pose a critical global concern, identifying associated
risk factors remains a pivotal research focus. This study aims to propose and optimize a …

This study aimed to address the issue of larger prediction errors existing in intelligent
predictive tasks related to Alzheimer's disease (AD). A cohort of 487 enrolled participants …

Abstract Background and Objective Alzheimer's disease (AD) is a dreaded degenerative
disease that results in a profound decline in human cognition and memory. Due to its …

Alzheimer's disease (AD) is a neurodegenerative illness that impairs cognition, function, and
behavior by causing irreversible damage to multiple brain areas, including the …

Purpose This paper is a systematic literature review of the use of artificial intelligence
techniques to detect early dementia. It focuses on multi-modal feature analysis in …

Optimization plays an important role in solving complex computational problems. Meta-
Heuristic approaches work as an optimization technique. In any search space, these …