English | 2021 | ISBN: 1032028785 | 219 pages | True PDF | 11.08 MB
Cancer Prediction for Industrial IoT 4.
0: A Mining and Machine Learning Perspective explores the various cancers using Artificial Intelligence Techniques. It presents the rapid advancement in the existing predicting models by applying Machine Learning techniques. Several applications of Machine Learning in different cancer prediction and treatment are incorporated in the book. The wide variety of topics it presents offers readers multiple perspectives on various disciplines, including the number of chapters in the edited book.
The key features of this Edited Book are as follows:
Fundamental, History, Reality and Challenges of Cancer
Concepts and Analysis of different cancer in human
Machine Learning-based Deep Learning and data mining Concepts in the prediction of cancer
Prediction of cancer including different real-world examples
Strats and Tools for Prediction of cancer
Future prospectus in cancer prediction and treatment
The main benefits of reading this book are as follows:
Readers can be able to understand the fundamental concepts and analysis of Cancer prediction and treatment
Readers can learn how to apply emeg technologies such as Machine Learning into practice to tackle challenges in s domains/fields of cancer with real-world scenarios.
Help guide the reader to the specific ideas, tools, and practices most applicable to the product/service development and innovation problems and opportunities.
Hands-on chapters contributed by the acadians and other professionals from reputed organizations provides and describes frameworks, applications, best practices and case studies on emeg cancer treatment and predictions.
This book will help the graduates, data scientists, machine learning users, doctors and analytics Managers.
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