Machine Learning, Big Data, and IoT for Medical Informatics (Paperback)

Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics. In medical informatics, machine learning, big data, and IOT-based techniques play a significant role in disease diagnosis and its prediction. In the medical field, the structure of data is equally important for accurate predictive analytics due to heterogeneity of data such as ECG data, X-ray data, and image data. Thus, this book focuses on the usability of machine learning, big data, and IOT-based techniques in handling structured and unstructured data. It also emphasizes on the privacy preservation techniques of medical data. This volume can be used as a reference book for scientists, researchers, practitioners, and academicians working in the field of intelligent medical informatics. In addition, it can also be used as a reference book for both undergraduate and graduate courses such as medical informatics, machine learning, big data, and IoT.

General

Imprint:	Academic Press Inc
Country of origin:	United States
Series:	Intelligent Data-Centric Systems
Release date:	June 2021
First published:	2021
Editors:	Pardeep Kumar • Yugal Kumar • Mohamed A. Tawhid
Series editors:	Fatos Xhafa
Dimensions:	235 x 191 x 30mm (L x W x T)
Format:	Paperback
Pages:	458
ISBN-13:	978-0-12-821777-1
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems
LSN:	0-12-821777-4
Barcode:	9780128217771

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