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    ARTICLE

    Predicting Dementia Risk Factors Based on Feature Selection and Neural Networks

    Ashir Javeed1,2, Ana Luiza Dallora2, Johan Sanmartin Berglund2,*, Arif Ali4, Peter Anderberg2,3, Liaqat Ali5

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 2491-2508, 2023, DOI:10.32604/cmc.2023.033783

    Abstract Dementia is a disorder with high societal impact and severe consequences for its patients who suffer from a progressive cognitive decline that leads to increased morbidity, mortality, and disabilities. Since there is a consensus that dementia is a multifactorial disorder, which portrays changes in the brain of the affected individual as early as 15 years before its onset, prediction models that aim at its early detection and risk identification should consider these characteristics. This study aims at presenting a novel method for ten years prediction of dementia using on multifactorial data, which comprised 75 variables. There are two automated diagnostic… More >

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