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Advanced Machine Learning Approaches in Cancer Prognosis

Language EnglishEnglish
Book Hardback
Book Advanced Machine Learning Approaches in Cancer Prognosis Margarita N. Favorskaya
Libristo code: 36266531
Publishers Springer Nature Switzerland AG, May 2021
This book introduces a variety of advanced machine learning approaches covering the areas of neural... Full description
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61 123 Ft
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This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer. Moreover, the tactical solutions of machine learning have proved its vast range of significance and, provided novel solutions in the medical field for the diagnosis of disease. This book also explores the distinct deep learning approaches that are capable of yielding more accurate outcomes for the diagnosis of cancer. In addition to providing an overview of the emerging machine and deep learning approaches, it also enlightens an insight on how to evaluate the efficiency and appropriateness of such techniques and analysis of cancer data used in the cancer diagnosis. Therefore, this book focuses on the recent advancements in the machine learning and deep learning approaches used in the diagnosis of different types of cancer along with their research challenges and future directions for the targeted audience including scientists, experts, Ph.D. students, postdocs, and anyone interested in the subjects discussed.

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About the book

Full name Advanced Machine Learning Approaches in Cancer Prognosis
Language English
Binding Book - Hardback
Date of issue 2021
Number of pages 476
EAN 9783030719746
ISBN 303071974X
Libristo code 36266531
Weight 875
Dimensions 160 x 241 x 31
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