Next Generation Healthcare with Explainable AI: IoMT-Edge-Cloud Based Advanced eHealth

Joy Dutta, Deepak Puthal, Chan Yeob Yeun

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations

    Abstract

    This article provides in-depth experimental studies of XAI (EXplainable Artificial Intelligence) in the IoT-Edge-Cloud continuum. Within the different available XAI frameworks, such as Local Interpretable Model-Agnostic Explanations (LIME) and SHapley Additive exPlanations (SHAP) frameworks are utilized here as they are the most suitable feature map-based, model-agnostic, posthoc frameworks that match our requirements for getting real-time prediction explanations in the healthcare domain. In order to evaluate LIME and SHAP in this continuum and to make black box AI (BBAI)-based decisions interpretable, we have considered the real-world electronic health record (EHR)-based large cloud database (which could be a very large database-VLDB) and IoMT based real-time streams as edge databases for the prediction of cardiac arrest in the real-world. We have also verified the effectiveness of automated counterfactual explanations in this context for taking remedial actions. Thus, our proposed model is capable of making significant advancements in the healthcare industry by offering conscious healthcare monitoring automation along with an AI-based self-explanatory system that serves as a personalized health assistant for individuals, paving the way for the next major upgrade in healthcare.

    Original languageBritish English
    Title of host publicationGLOBECOM 2023 - 2023 IEEE Global Communications Conference
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages7327-7332
    Number of pages6
    ISBN (Electronic)9798350310900
    DOIs
    StatePublished - 2023
    Event2023 IEEE Global Communications Conference, GLOBECOM 2023 - Kuala Lumpur, Malaysia
    Duration: 4 Dec 20238 Dec 2023

    Publication series

    NameProceedings - IEEE Global Communications Conference, GLOBECOM
    ISSN (Print)2334-0983
    ISSN (Electronic)2576-6813

    Conference

    Conference2023 IEEE Global Communications Conference, GLOBECOM 2023
    Country/TerritoryMalaysia
    CityKuala Lumpur
    Period4/12/238/12/23

    Keywords

    • Cloud Computing
    • counterfactuals
    • Edge Computing
    • eHealth
    • Interpretability
    • IoMT
    • XAI

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