Limit search to available items
Book Cover

Title Advanced machine learning approaches in cancer prognosis : challenges and applications / Janmenjoy Nayak, Margarita N. Favorskaya, Seema Jain, Bighnaraj Naik, Manohar Mishra, editors
Published Cham : Springer, 2021


Description 1 online resource
Series Intelligent Systems Reference Library, 1868-4394 ; v. 204
Intelligent systems reference library ; v. 204. 1868-4394
Contents Advances in Machine Learning Approaches in Cancer Prognosis -- Data Analysis on Cancer Disease using Machine Learning Techniques -- Learning from multiple modalities of imaging data for cancer detection/diagnosis -- Neural Network for Lung Cancer diagnosis -- Improved Thyroid Disease Prediction Model Using Data Mining Techniques with Outlier Detection -- Automated Breast Cancer Diagnosis Based on Neural Network Algorithms
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
Notes Online resource; title from PDF title page (SpringerLink, viewed June 3, 2021)
Subject Cancer -- Prognosis -- Technological innovations
Machine learning.
Artificial intelligence -- Medical applications.
Machine Learning
Artificial intelligence -- Medical applications
Machine learning
Pronòstic mèdic.
Innovacions tecnològiques.
Intel·ligència artificial en medicina.
Aprenentatge automàtic.
Genre/Form Llibres electrònics.
Form Electronic book
Author Nayak, Janmenjoy, editor.
Favorskaya, Margarita N., editor
Jain, Seema, editor
Naik, Bighnaraj, editor.
Mishra, Manohar, editor
ISBN 9783030719753