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A Cloud-based Risk Stratification Platform Cardiovascular Disease, Depression and Comorbidities.

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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
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    A new cloud-based platform integrates artificial intelligence (AI) models for accurate, cost-effective diagnosis of cardiovascular disease (CVD) and depression. This tool aids clinicians in identifying patients with both conditions for better management.

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    Area of Science:

    • Medical Informatics
    • Artificial Intelligence in Healthcare
    • Computational Psychiatry

    Background:

    • Co-occurrence of depression and cardiovascular disease (CVD) is clinically significant.
    • Accurate identification of patients with comorbid depression and CVD is crucial for optimal management.
    • Existing research lacks integrated tools for diagnosing both conditions simultaneously.

    Purpose of the Study:

    • To develop a cloud-based platform integrating AI models for diagnosing depression and CVD.
    • To provide an easier, accurate, and cost-effective diagnostic solution.
    • To facilitate clinical practice by enabling seamless AI model integration.

    Main Methods:

    • Development of a cloud-enabled computing unit utilizing REST architecture.
    • Integration of AI algorithms and data exchange services.
    • Implementation using Python 3, Java SDK 11, MySQL, and Payara Application Server on a Linux VM.

    Main Results:

    • A cost-effective, accurate, and efficient platform for risk stratification of depression and CVD.
    • Seamless and transparent interfacing of AI models and applications for end-users.
    • Successful hosting on a Linux Virtual Machine.

    Conclusions:

    • The developed platform represents a state-of-the-art solution for CVD and depression risk stratification.
    • Cardiologists and psychiatrists can utilize this platform for improved patient identification and further examination.
    • The integrated approach enhances the management of comorbid cardiovascular and depressive conditions.