Explainable Artificial Intelligence (XAI) in Healthcare

Author:   Utku Kose ,  Nilgun Sengoz (Burdur Mehmet Akif Ersoy University, MAKU-BAKA Technopark, Burdur, Turkey) ,  Xi Chen ,  Jose Antonio Marmolejo Saucedo (Universidad Nacional Autonoma de Mexico, Mexico)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032543703


Pages:   208
Publication Date:   23 April 2024
Format:   Hardback
Availability:   In Print   Availability explained
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Explainable Artificial Intelligence (XAI) in Healthcare


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Author:   Utku Kose ,  Nilgun Sengoz (Burdur Mehmet Akif Ersoy University, MAKU-BAKA Technopark, Burdur, Turkey) ,  Xi Chen ,  Jose Antonio Marmolejo Saucedo (Universidad Nacional Autonoma de Mexico, Mexico)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   1.260kg
ISBN:  

9781032543703


ISBN 10:   1032543701
Pages:   208
Publication Date:   23 April 2024
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Utku Kose is an Associate Professor in Suleyman Demirel University, Turkey, and Visiting Researcher in University of North Dakota, USA. His research interests include artificial intelligence, machine ethics, artificial intelligence safety, biomedical applications, optimization, the chaos theory, distance education, e-learning, computer education, and computer science. Nilgun Sengoz is an Assistant Professor in Burdur Mehmet Akif University, Turkey. Her areas of interest are artificial intelligence, machine learning and deep learning, medical image processing and also human computer interaction. Xi Chen is a Senior Software Engineer in Meta, Burlingame, CA, USA. He graduated from the University of Kentucky focusing in bioinformatics PhD and Statistics MA. He is passionate about Big Data, Machine Learning and AI research, with strong interpersonal skills, adept at working in teams and successfully delivering projects. Jose Antonio Marmolejo is a Professor at National Autonomous University of Mexico, Mexico. His research is on operations research, largescale optimization techniques, computational techniques, analytical methods for planning, operations, and control of electric energy and logistic systems, sustainable supply chain design and digital twins in supply chains.

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