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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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LETHE: A Digital Intervention for Cognitive Decline.

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    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 12, 2023
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    Summary
    This summary is machine-generated.

    The LETHE project introduces a novel platform for early detection and prevention of cognitive decline in at-risk elderly individuals. This system uses Big Data for personalized interventions, aiming to slow dementia progression through lifestyle changes.

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    Area of Science:

    • Gerontology
    • Neuroscience
    • Digital Health

    Background:

    • Dementia is a leading cause of disability in the elderly, influenced by pathological, lifestyle, and genetic factors.
    • Current dementia management focuses on early diagnosis and slowing progression due to the lack of a cure.
    • Existing assistive technologies primarily target memory and thinking improvements.

    Purpose of the Study:

    • To introduce the LETHE study and its novel platform for preventing cognitive decline across the spectrum from asymptomatic to prodromal dementia.
    • To establish a Big Data collection and analysis system for personalized risk detection and intervention.
    • To evaluate and validate the LETHE system and gained knowledge through a 2-year clinical trial.

    Main Methods:

    • Development of a Big Data platform for cognitive decline management.
    • Implementation of a holistic, multidomain lifestyle intervention trial.
    • Architectural design of a cloud-based health management system.

    Main Results:

    • The LETHE platform enables personalized risk detection and intervention for cognitive decline.
    • The system supports remote and continuous monitoring of patient health status.
    • Predictive models for cognitive decline and intervention adherence are developed.

    Conclusions:

    • The LETHE system offers a novel, holistic approach to multidomain lifestyle interventions for cognitive health.
    • It aims to improve patient outcomes by enabling timely medical decisions through predictive analytics.
    • The platform represents an advancement in health management systems and cloud development for elderly cognitive care.