Medical Data Analysis and Processing using Explainable Artificial Intelligence Hardback
Edited by Om Prakash (Ravenshaw University, Cuttack) Jena, utyunjaya Panda, Utku Kose
Part of the Explainable AI XAI for Engineering Applications series
Hardback
Description
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 biomedicalPresents explainable artificial intelligence (XAI) based machine analytics and deep learning in medical scienceDiscusses explainable artificial intelligence (XA)I with the Internet of Medical Things (IoMT) for healthcare applicationsCovers algorithms, tools, and frameworks for explainable artificial intelligence on medical dataExplores the concepts of natural language processing and explainable artificial intelligence (XAI) on medical data processingDiscusses machine learning and deep learning scalability models in healthcare systemsThis 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.
Information
-
Out of stock
- Format:Hardback
- Pages:252 pages, 74 Tables, black and white; 93 Line drawings, black and white; 12 Halftones, black and wh
- Publisher:Taylor & Francis Ltd
- Publication Date:06/11/2023
- Category:
- ISBN:9781032191126
Information
-
Out of stock
- Format:Hardback
- Pages:252 pages, 74 Tables, black and white; 93 Line drawings, black and white; 12 Halftones, black and wh
- Publisher:Taylor & Francis Ltd
- Publication Date:06/11/2023
- Category:
- ISBN:9781032191126
