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Medical Data Analysis and Processing using Explainable Artificial Intelligence

By: (Edited by) Om Prakash Jena , (Edited by) Utku Kose , (Edited by) utyunjaya Panda

Manufacture on Demand

Ksh 28,800.00

Format: Hardback or Cased Book

ISBN-10: 1032191120

ISBN-13: 9781032191126

Series: Explainable AI XAI for Engineering Applications

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Nov 6th, 2023

Print length: 252 Pages

Weight: 453 grams

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The text presents concepts of explainable artificial intelligence (XAI) in solving real world biomedical and healthcare problems.

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.


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