ENHANCING EARLY DEMENTIA PREDICTION USING MACHINE LEARNING
DOI:
https://doi.org/10.60787/jnamp.v67i2.375Keywords:
Early dementia prediction, Machine learning models, Neuroimaging data, Feature importanceAbstract
Dementia is a rising global health issue affecting millions and imposing significant burdens on families and healthcare systems. Early diagnosis is crucial for better management and treatment outcomes. Traditional diagnostic techniques often detect dementia at later stages, limiting the effectiveness of interventions. This study explores the potential of machine learning to enhance early dementia prediction by analyzing large datasets from various sources, including imaging, genetic, and medical records. By developing and validating a machine learning model, this research aims to improve early diagnosis, enable timely interventions, and ultimately improve patient outcomes.
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