This book brings together a blend of different areas of machine learning and recent advances in the area. From the use of ML in healthcare to security, this book encompasses several areas related to ML while keeping a check on traditional ML algorithms.
Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions describes the predictive analysis and forecasting techniques in different emerging and classical areas using the approaches of ML and AI. It 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. This book also focuses on NLP and understanding the techniques, obstacles, and possible solutions.
This is a valuable reference resource for researchers and postgraduate students in healthcare systems engineering, computer science, cyber-security, information technology, and applied mathematics.
| ISBN: | 9781032478418 |
| Publication date: | 19th January 2024 |
| Author: | Prashant Pranav, Archana Patel, Sarika Jain |
| Publisher: | CRC Press |
| Format: | Hardback |
| Pagination: | 212 pages |
| Series: | Artificial Intelligence in Smart Healthcare Systems |
| Genres: |
Databases Public ownership / nationalization Automatic control engineering Communications engineering / telecommunications Product design Health systems and services Engineering: general Electrical engineering Privacy and data protection Systems analysis and design Artificial intelligence Digital and information technologies: Legal aspects Economics Environmental science, engineering and technology Health & Fitness |