Machine learning in healthcare and security advances, obstacles, and solutions

"This book brings a blend of different areas of Machine Learning and the recent advances in the area. From the use of ML in healthcare to security, the book encompasses several areas related to ML while keeping a check on the traditional ML algorithms. It describes the predictive analysis and f...

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Bibliographische Detailangaben
Weitere Verfasser: Pranav, Prashant (HerausgeberIn), Patel, Archana (HerausgeberIn), Jain, Sarika (HerausgeberIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Boca Raton, London, New York CRC Press 2024
Ausgabe:First edition
Schriftenreihe:Artificial Intelligence in smart healthcare systems
Schlagworte:
Online Zugang:Inhaltsverzeichnis
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Beschreibung
Zusammenfassung:"This book brings a blend of different areas of Machine Learning and the recent advances in the area. From the use of ML in healthcare to security, the book encompasses several areas related to ML while keeping a check on the traditional ML algorithms. It describes the predictive analysis and forecasting techniques in different emerging and classical areas using the approach of ML and AI, discusses the application of ML and AI in Medical Diagnostic systems, and deals with the security prevention aspects of ML and how it can be used to tackle various emerging security issues"--
Beschreibung:Literaturangaben
Beschreibung:xii, 212 Seiten
Illustrationen, Diagramme
ISBN:9781032478418
978-1-032-47841-8
9781032483993
978-1-032-48399-3