Description: Explainable Artificial Intelligence in Medical Decision Support Systems, Hardcover by Imoize, Agbotiname Lucky (EDT); Hemanth, Jude (EDT); Do, Dinh-thuan (EDT); Sur, Samarendra Nath (EDT), ISBN 1839536209, ISBN-13 9781839536205, Like New Used, Free shipping in the US 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. Th 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. Written by an international team of experts, this book reviews state-of-the-art research and applications in its field for an audience of computer engineers, AI engineers, ICT professionals, and researchers in the field of computer science, machine learning, AI, and XAI, healthcare analytics, and related disciplines.
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Book Title: Explainable Artificial Intelligence in Medical Decision Support S
Number of Pages: 545 Pages
Language: English
Publication Name: Explainable Artificial Intelligence in Medical Decision Support Systems
Publisher: Institution of Engineering & Technology
Subject: Life Sciences / General, General, Biomedical
Publication Year: 2023
Type: Textbook
Subject Area: Technology & Engineering, Science, Medical
Author: Jude Hemanth
Item Length: 9.2 in
Item Width: 6.1 in
Series: Healthcare Technologies Ser.
Format: Hardcover
