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Machine Learning and Deep Learning Techniques for Medical Science (Hardcover): K. Gayathri Devi, Kishore Balasubramanian, Le... Machine Learning and Deep Learning Techniques for Medical Science (Hardcover)
K. Gayathri Devi, Kishore Balasubramanian, Le Anh Ngoc
R4,522 Discovery Miles 45 220 Ships in 10 - 15 working days

Presents key aspects in the development and the implementation of machine learning and deep learning approaches towards developing prediction tools, models, and improving medical diagnosis Discusses recent trends innovations, challenges, solutions, and applications of intelligent system-based disease diagnosis Examines deep learning theories, models, and tools to enhance health information systems Explores ML and DL in relation to AI prediction tools discovery of drugs, neuroscience, and diagnosis in multiple imaging modalities

Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches (Hardcover): Mamata Rath,... Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches (Hardcover)
Mamata Rath, Nguyen Thi Dieu Linh, K. Gayathri Devi
R4,916 Discovery Miles 49 160 Ships in 10 - 15 working days

Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications today. This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems. The book focuses on concepts and techniques used to run tasks in an automated manner. It discusses computational intelligence in the detection and diagnosis of clinical and biomedical images, covers the automation of a system through machine learning and deep learning approaches, presents data analytics and mining for decision-support applications, and includes case-based reasoning, natural language processing, computer vision, and AI approaches in real-time applications. Academic scientists, researchers, and students in the various domains of computer science engineering, electronics and communication engineering, and information technology, as well as industrial engineers, biomedical engineers, and management, will find this book useful. By the end of this book, you will understand the fundamentals of AI. Various case studies will develop your adaptive thinking to solve real-time AI problems. Features Includes AI-based decision-making approaches Discusses computational intelligence in the detection and diagnosis of clinical and biomedical images Covers automation of systems through machine learning and deep learning approaches and its implications to the real world Presents data analytics and mining for decision-support applications Offers case-based reasoning

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