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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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Bibliographic Details
Corporate Author: Taylor & Francis
Other Authors: Pranav, Prashant (Editor), Patel, Archana (Lecturer in software engineering) (Editor), Jain, Sarika (Editor)
Format: eBook
Language:English
Published: Boca Raton : CRC Press, Taylor & Francis Group, 2024.
Edition:First edition.
Series:Artificial Intelligence in smart healthcare systems
Subjects:
Artificial intelligence > Medical applications.
Medicine > Data processing.
Machine learning.
Data protection.
Machine Learning
Intelligence artificielle > Applications en médecine.
Médecine > Informatique.
Apprentissage automatique.
Protection de l'information (Informatique)
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:"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"--
Physical Description:1 online resource.
Bibliography:Includes bibliographical references and index.
ISBN:9781003388845
1003388841