Electronic Resource

Advanced Machine Learning Approaches in Cancer Prognosis

---

Penilaian

---

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.

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
1908000863	EB0001447	616.994 075 Adv	Central Library (OPAC)	Available

Detail Information

Series Title

-

Call Number

616.994 075 Adv

Publisher

Switzerland : Springer Cham., 2021

Collation

XX, 454p.:Ill

Language

English

ISBN/ISSN

978-3-030-71975-3

Classification

616.994 075

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Machine Learning

Specific Detail Info

-

Statement of Responsibility

BRF

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment