Machine Learning and Deep Learning Techniques for Medical Science (Artificial Intelligence: Elementary to Advanced Practices)
Author: Kishore Balasubramanian,Le Anh Ngoc,K Gayathri Devi (Editor)
Publisher finelybook 出版社: CRC Pr I Llc (May 12, 2022)
Language 语言: English
Print Length 页数: 398 pages
ISBN-10: 1032104201
ISBN-13: 9781032104201
Book Description
By finelybook
Machine Learning and Deep Learning Techniques for Medical Science (Artificial Intelligence: Elementary to Advanced Practices)
The application of machine learning is growing exponentially into every branch of business and science, including medical science. This book presents the integration of machine learning (ML) and deep learning (DL) algorithms that can be applied in the healthcare sector to reduce the time required Author: doctors, radiologists, and other medical professionals for analyzing, predicting, and diagnosing the conditions with accurate results. The book offers important key aspects in the development and implementation of ML and DL approaches toward developing prediction tools and models and improving medical diagnosis.
The contributors explore the recent trends, innovations, challenges, and solutions, as well as case studies of the applications of ML and DL in intelligent system-based disease diagnosis. The chapters also highlight the basics and the need for applying mathematical aspects with reference to the development of new medical models. Authors also explore ML and DL in relation to artificial intelligence (AI) prediction tools, the discovery of drugs, neuroscience, diagnosis in multiple imaging modalities, and pattern recognition approaches to functional magnetic resonance imaging images.
This book is for students and researchers of computer science and engineering, electronics and communication engineering, and information technology; for biomedical engineering researchers, academicians, and educators; and for students and professionals in other areas of the healthcare sector.
Presents key aspects in the development and the implementation of ML and DL approaches toward developing prediction tools, models, and improving medical diagnosis
Discusses the recent trends, innovations, challenges, solutions, and applications of intelligent system-based disease diagnosis
Examines DL 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
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