Medical Data Analysis and Processing using Explainable Artificial Intelligence (Explainable AI (XAI) for Engineering Applications)

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Synopsis
The text presents concepts of explainable artificial intelligence (XAI) in solving real world biomedical and healthcare problems. It will serve as an ideal reference text for graduate students and academic researchers in diverse fields of engineering including electrical, electronics and communication, computer, and biomedical. 　 　 Presents explainable artificial intelligence (XAI) based machine analytics and deep learning in medical science.　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　 　　　　　　　　　　　　　　　　　　　　　　　 Discusses explainable artificial intelligence (XA)I with the Internet of Medical Things (IoMT) for healthcare applications.　　 　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　 　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　 Covers algorithms, tools, and frameworks for explainable artificial intelligence on medical data.　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　 Explores the concepts of natural language processing and explainable artificial intelligence (XAI) on medical data processing.　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　 　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　 Discusses machine learning and deep learning scalability models in healthcare systems.　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　 　 This text focuses on data driven analysis and processing of advanced methods and techniques with the help of explainable artificial intelligence (XAI) algorithms. It covers machine learning, Internet of Things (IoT), and deep learning algorithms based on XAI techniques for medical data analysis and processing. The text will present different dimensions of XAI based computational intelligence applications. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and biomedical engineering. 　
Copyright:
2024

Book Details

Book Quality:
Publisher Quality
Book Size:
252 Pages
ISBN-13:
9781000983654
Related ISBNs:
9781003257721, 9781032191126, 9781032191133
Publisher:
CRC Press
Date of Addition:
Copyrighted By:
selection and editorial matter
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Science, Technology, Medicine
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.
Edited by:
Om Prakash Jena
Edited by:
Mrutyunjaya Panda
Edited by:
Utku Kose

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