Explainable Machine Learning in Medicine (eBook)

Karol Przystalski, Rohit M. Thanki (Autoren)

eBook Download: PDF

2023
82 Seiten
Springer International Publishing (Verlag)
978-3-031-44877-5 (ISBN)

Infos

This book covers a variety of advanced communications technologies that can be used to analyze medical data and can be used to diagnose diseases in clinic centers. The book is a primer of methods for medicine, providing an overview of explainable artificial intelligence (AI) techniques that can be applied in different medical challenges. The authors discuss how to select and apply the proper technology depending on the provided data and the analysis desired. Because a variety of data can be used in the medical field, the book explains how to deal with challenges connected with each type. A number of scenarios are introduced that can happen in real-time environments, with each pared with a type of machine learning that can be used to solve it.

Produkt-Details

• Erscheint lt. Verlag: 26.11.2023
• Reihe/Serie: Synthesis Lectures on Engineering, Science, and Technology
• Reihe/Serie: Synthesis Lectures on Engineering, Science, and Technology
• Zusatzinfo: XI, 82 p. 14 illus., 12 illus. in color.
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Medizin / Pharmazie ► Pflege
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Themenwelt: Technik ► Nachrichtentechnik
• Schlagworte: Explainable machine learning • Medical Data Types • Medical Machine Learning • Medicine Artificial Intelligence • Real-world Automation Medical Cases
• ISBN-10: 3-031-44877-4 / 3031448774
• ISBN-13: 978-3-031-44877-5 / 9783031448775