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Explainable Artificial Intelligence in Medical Decision Support Systems (Hardcover)
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Explainable Artificial Intelligence in Medical Decision Support Systems (Hardcover)
Series: Healthcare Technologies
Expected to ship within 10 - 15 working days
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Medical decision support systems (MDSS) are computer-based programs
that analyse data within a patient's healthcare records to provide
questions, prompts, or reminders to assist clinicians at the point
of care. Inputting a patient's data, symptoms, or current treatment
regimens into an MDSS, clinicians are assisted with the
identification or elimination of the most likely potential medical
causes, which can enable faster discovery of a set of appropriate
diagnoses or treatment plans. Explainable AI (XAI) is a "white box"
model of artificial intelligence in which the results of the
solution can be understood by the users, who can see an estimate of
the weighted importance of each feature on the model's predictions,
and understand how the different features interact to arrive at a
specific decision. This book discusses XAI-based analytics for
patient-specific MDSS as well as related security and privacy
issues associated with processing patient data. It provides
insights into real-world scenarios of the deployment, application,
management, and associated benefits of XAI in MDSS. The book
outlines the frameworks for MDSS and explores the applicability,
prospects, and legal implications of XAI for MDSS. Applications of
XAI in MDSS such as XAI for robot-assisted surgeries, medical image
segmentation, cancer diagnostics, and diabetes mellitus and heart
disease prediction are explored.
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