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Handbook of AI-Based Models in Healthcare and Medicine: Approaches, Theories, and Applications
Handbook of AI-Based Models in Healthcare and Medicine: Approaches, Theories, and Applications
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- More about Handbook of AI-Based Models in Healthcare and Medicine: Approaches, Theories, and Applications
This handbook provides comprehensive and well-focused developments of AI, ML, DL, NLP, cryptography, and blockchain approaches, along with their applications in healthcare systems. It offers advanced models of ML and DL for healthcare management and discusses blockchain-based healthcare management. It is a valuable resource for undergraduate and postgraduate students, academics, researchers, and industry professionals interested in understanding the applications of ML/DL in the healthcare setting.
Format: Hardback
Length: 456 pages
Publication date: 21 February 2024
Publisher: Taylor & Francis Ltd
This comprehensive handbook delves into the intricate realms of artificial intelligence (AI), machine learning (ML), deep learning (DL), natural language processing (NLP), cryptography, and blockchain, offering thorough, in-depth, and well-focused developments. Its primary focus lies in exploring these cutting-edge approaches and their applications in healthcare systems, providing valuable insights for professionals, researchers, and students alike.
The handbook adopts a medically oriented approach, delving into the intricacies of human biology, healthcare, and medicine. It presents NLP-based medical reports and explores innovative medicine enhancements, making it an invaluable resource for those in the healthcare industry. Furthermore, the handbook showcases advanced models of ML and DL, highlighting their potential in managing healthcare systems effectively.
In addition to these core topics, the handbook delves into blockchain-based healthcare management, discussing its advantages and challenges. It presents use cases where AI, ML, and DL can effectively solve healthcare complications, showcasing their transformative potential in the field.
Designed for undergraduate and postgraduate students, academics, researchers, and industry professionals interested in understanding the applications of ML/DL in the healthcare setting, this handbook serves as a valuable reference on their bookshelves. It offers a comprehensive and up-to-date exploration of these emerging technologies, equipping readers with the knowledge and tools necessary to advance their understanding and contribute to the future of healthcare.
Weight: 1040g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032419152
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