Explainable Artificial Intelligence (XAI) in Healthcare (PDF)
(Sprache: Englisch)
This book highlights the use of explainable artificial intelligence (XAI) for healthcare problems, in order to improve trustworthiness, performance and sustainability levels in the context of applications.
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Produktinformationen zu „Explainable Artificial Intelligence (XAI) in Healthcare (PDF)“
This book highlights the use of explainable artificial intelligence (XAI) for healthcare problems, in order to improve trustworthiness, performance and sustainability levels in the context of applications.
Autoren-Porträt
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.
Bibliographische Angaben
- 2024, 1. Auflage, 222 Seiten, Englisch
- Herausgegeben: Utku Kose, Nilgun Sengoz, Xi Chen, Jose Antonio Marmolejo Saucedo
- Verlag: Taylor & Francis
- ISBN-10: 1040020445
- ISBN-13: 9781040020449
- Erscheinungsdatum: 23.04.2024
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 19 MB
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Sprache:
Englisch
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