Introduction: This study aimed to develop novel machine learning models for predicting
Alzheimer's disease (AD) and identify key factors for targeted prevention. Methods: We …

Introduction This study aims to explore machine learning (ML) methods for early prediction
of Alzheimer's disease (AD) and related dementias (ADRD) using the real‐world electronic …

The early diagnosis of Alzheimer's disease (AD) presents a significant challenge due to the
subtle biomarker changes often overlooked. Machine learning (ML) models offer a …

Alzheimer's disease (AD) is the most common cause of dementia. Accurate prediction and
diagnosis of AD and its prodromal stage, ie, mild cognitive impairment (MCI), is essential for …

Alzheimer's disease is a neurodegenerative disorder and the most common form of
dementia. Early diagnosis may assist interventions to delay onset and reduce the …

Background: The major mechanisms of dementia and cognitive impairment are vascular and
neurodegenerative processes. Early diagnosis of cognitive impairment can facilitate timely …

Alzheimer's disease (AD) is the most common late-onset neurodegenerative disorder.
Identifying individuals at increased risk of developing AD is important for early intervention …

Alzheimer's disease (AD) is an incurable neurodegenerative disorder that leads to
dementia. This study employs explainable machine learning models to detect dementia …

Artificial intelligence (AI) approaches pose a great opportunity for individualized, pre-
symptomatic disease diagnosis which plays a key role in the context of personalized …

Objective Alzheimer disease (AD) is the most common cause of dementia, a syndrome
characterized by cognitive impairment severe enough to interfere with activities of daily life …