Machine learning in healthcare and security : advances, obstacles, and solutions / edited by Prashant Pranav, Archana Patel, and Sarika Jain.
"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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| Online Access: |
Full Text (via Taylor & Francis) |
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton :
CRC Press, Taylor & Francis Group,
2024.
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| Edition: | First edition. |
| Series: | Artificial Intelligence in smart healthcare systems.
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| Subjects: |
| 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"-- |
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| Physical Description: | 1 online resource. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781003388845 1003388841 |
| Source of Description, Etc. Note: | Description based on print version record and CIP data provided by publisher. |