Share
Explainable Artificial Intelligence in Medical Decision Support Systems (Healthcare Technologies) (in English)
Jude Hemanth
(Illustrated by)
·
Agbotiname Lucky Imoize
(Illustrated by)
·
Dinh-Thuan Do
(Illustrated by)
·
Institution of Engineering & Technology
· Hardcover
Explainable Artificial Intelligence in Medical Decision Support Systems (Healthcare Technologies) (in English) - Imoize, Agbotiname Lucky ; Hemanth, Jude ; Do, Dinh-Thuan
$ 140.00
$ 175.00
You save: $ 35.00
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Monday, June 03 and
Tuesday, June 04.
You will receive it anywhere in United States between 1 and 3 business days after shipment.
Synopsis "Explainable Artificial Intelligence in Medical Decision Support Systems (Healthcare Technologies) (in English)"
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.
