Buch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 learninghaveproved 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. 476 pp. Englisch. N� de ref. del art�culo: 9783030719746

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Advanced Machine Learning Approaches in Cancer Prognosis: Challenges and Applications (Intelligent Systems Reference Library, 204)

Publicado por Springer, 2021

ISBN 10: 303071974X ISBN 13: 9783030719746

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Librería: Ria Christie Collections, Uxbridge, Reino Unido

Calificaci�n del vendedor: 5 de 5 estrellas

Condici�n: New. In. N� de ref. del art�culo: ria9783030719746_new

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Advanced Machine Learning Approaches in Cancer Prognosis

Publicado por Springer International Publishing, 2021

ISBN 10: 303071974X ISBN 13: 9783030719746

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Librería: moluna, Greven, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Gebunden. Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discusses&nbspall&nbsptypes of cancer diseases information with their detection, solution,&nbspand preventionPresents advanced machine learning approaches spanning the areas of neural networks, fuzzy logic, connectionist systems, genetic algori. N� de ref. del art�culo: 458553423

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Advanced Machine Learning Approaches in Cancer Prognosis : Challenges and Applications

Janmenjoy Nayak

Publicado por Springer International Publishing, 2021

ISBN 10: 303071974X ISBN 13: 9783030719746

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Librería: AHA-BUCH GmbH, Einbeck, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Buch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 learninghaveproved 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. N� de ref. del art�culo: 9783030719746

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