Cancer Prediction for Industrial IoT 4.0

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Product Details

Publisher,Chapman & Hall
Publication Date,
Format, Hardcover
Weight, 553.38 g
No. of Pages, 203

This book presents the developments in machine learning with data mining, and their influence in Industrial IoT 4.0 for cancer prediction. It explores a comprehensive analysis of the gradual evolution of Industrial IoT 4.0 and machine learning technologies for establishing a new-generation and improving the productivity of healthcare industries. Covers the fundamentals, history, reality and challenges in Industrial IoT 4.0 D iscusses the concepts and analysis of Industrial IoT 4.0 Highlights machine learning-based deep learning and data mining concepts for automated Industrial 4.0 in the prediction of cancer Includes applications of industrial IoT 4.0 in the prediction of cancer with different real-world examples Focuses on strategies and tools for prediction of cancer in Industrial IoT 4.0 P resents case studies/success stories T alks about the future prospectus of Industrial IoT 4.0 This book is aimed primarily at graduates and researchers working in machine learning and data mining. Researchers and healthcare specialists studying cancer will also find this book useful--

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