Explainable artificial intelligence (XAI) in medical decision systems (MDSSs): healthcare systems perspective

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dc.contributor.authorAyoade, O. B.
dc.contributor.authorOladele, Tinuke Omolewa
dc.contributor.authorImoize, A. L.
dc.contributor.authorAwotunde, J. B.
dc.contributor.authorAdeloye, A. J.
dc.contributor.authorOlorunyomi, S. O.
dc.contributor.authorIdowu, A. O.
dc.date.accessioned2023-05-12T12:44:28Z
dc.date.available2023-05-12T12:44:28Z
dc.date.issued2022
dc.description.abstractThe healthcare sector is very interested in machine learning (ML) and artificial intelligence (AI). Nevertheless, applying AI applications in scientific contexts is difficult due to explainability issues. Explainable AI (XAI) has been studied as a potential remedy for the problems with current AI methods. The usage of ML with XAI may be capable of both explaining models and making judgments, in contrast to AI techniques like deep learning. Computer applications called medical decision support systems (MDSS) affect the decisions doctors make regarding certain patients at a specific moment. MDSS has played a crucial role in systems’ attempts to improve patient safety and the standard of care, particularly for noncommunicable illnesses. They have moreover been a crucial prerequisite for effectively utilizing electronic healthcare (EHRs) data. This chapter offers a broad overview of the application of XAI in MDSS toward various infectious diseases, summarizes recent research on the use and effects of MDSS in healthcare with regard to non-communicable diseases, and offers suggestions for users to keep in mind as these systems are incorporated into healthcare systems and utilized outside of contexts for research and development.en_US
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/10173
dc.language.isoenen_US
dc.publisherThe Institute of Engineering Technology (IET)en_US
dc.subjectExplainable artificial intelligence, Healthcare medical decision support systems, Non-communicable diseases, Sickle cell disease, Diabetes mellitus, COVID-19 pandemicen_US
dc.titleExplainable artificial intelligence (XAI) in medical decision systems (MDSSs): healthcare systems perspectiveen_US
dc.typeBook chapteren_US

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