Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions

Author: Prashant Pranav

This book is a comprehensive guide that brings together a blend of different areas of machine learning and recent advances in the field. It covers the use of machine learning in healthcare, security, and other emerging areas, while also discussing traditional machine learning algorithms.

Machine Learning in Healthcare

The book discusses the application of machine learning and artificial intelligence in medical diagnostic systems. It highlights the predictive analysis and forecasting techniques used in different emerging and classical areas of healthcare.

Machine Learning in Security

Machine Learning in Healthcare and Security also focuses on the security prevention aspects of machine learning. It explores how machine learning can be used to tackle various emerging security issues, providing valuable insights for researchers and professionals in the field of cybersecurity.

Natural Language Processing

The book also delves into natural language processing, discussing the techniques, obstacles, and possible solutions in this area. This makes it a valuable reference resource for researchers and postgraduate students in computer science, information technology, and applied mathematics.

Published by CRC Press on January 19, 2024, this book is available in English. The ISBNs are 9781032478418 and 9781003825883.