Advanced machine learning approaches in cancer prognosis : challenges and applications / Janmenjoy Nayak, Margarita N. Favorskaya, Seema Jain, Bighnaraj Naik, Manohar Mishra, editors.
Nayak, Janmenjoy, editor.; Favorskaya, Margarita N., editor.; Jain, Seema, editor.; Naik, Bighnaraj, editor.; Mishra, Manohar, editor.
2021
RC262
Available Online

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Title Advanced machine learning approaches in cancer prognosis : challenges and applications / Janmenjoy Nayak, Margarita N. Favorskaya, Seema Jain, Bighnaraj Naik, Manohar Mishra, editors.
ISBN 9783030719753 (electronic bk.)
3030719758 (electronic bk.)
303071974X
9783030719746
DOI https://doi.org/10.1007/978-3-030-71975-3
Publication Details Cham : Springer, 2021.
Language English
Description 1 online resource
Item Number 10.1007/978-3-030-71975-3 doi
Call Number RC262
Dewey Decimal Classification 616.99/4075
Summary 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.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed June 3, 2021).
Added Author Nayak, Janmenjoy, editor.
Favorskaya, Margarita N., editor.
Jain, Seema, editor.
Naik, Bighnaraj, editor.
Mishra, Manohar, editor.
Series Intelligent systems reference library ; v. 204. 1868-4394
Available in Other Form Advanced machine learning approaches in cancer prognosis.
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