Leveraging Machine Learning to Forecast Alzheimer's Disease Progression

In this research, machine learning methods are employed to predict Alzheimer's disease. As one of theneurodegenerative disorders, its symptoms begin subtly but progressively deteriorate. Alzheimer's diseaseis a common form of dementia. Cognitive aspects such as age, frequency of medical consultations, theMini-Mental State Examination (MMSE), and educational background can serve as indicators forforecasting the onset of Alzheimer's.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-12
DOI
https://doi.org/10.5281/zenodo.15204110
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Leveraging Machine Learning to Forecast Alzheimer's Disease Progression

Zenodo (CERN European Organization for Nuclear Research)
Dementia and Cognitive Impairment Research
article

Leveraging Machine Learning to Forecast Alzheimer's Disease Progression

article en

Abstract

In this research, machine learning methods are employed to predict Alzheimer's disease. As one of theneurodegenerative disorders, its symptoms begin subtly but progressively deteriorate. Alzheimer's diseaseis a common form of dementia. Cognitive aspects such as age, frequency of medical consultations, theMini-Mental State Examination (MMSE), and educational background can serve as indicators forforecasting the onset of Alzheimer's.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 48%
Dementia and Cognitive Impairment Research
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