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Machine Learning for Critical Internet of Medical Things - Applications and Use Cases (Hardcover, 1st ed. 2022) Loot Price: R4,618
Discovery Miles 46 180
Machine Learning for Critical Internet of Medical Things - Applications and Use Cases (Hardcover, 1st ed. 2022): Fadi...

Machine Learning for Critical Internet of Medical Things - Applications and Use Cases (Hardcover, 1st ed. 2022)

Fadi Al-Turjman, Anand Nayyar

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Loot Price R4,618 Discovery Miles 46 180 | Repayment Terms: R433 pm x 12*

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This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and help with innovations via integrated technologies such as artificial intelligence as well as deep learning. The authors show how machine learning also improves the physician's and doctor's medical capabilities to better diagnosis their patients. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning that will enhance the efficiency and effectiveness of the healthcare system. Provides researchers in machine and deep learning with a conceptual understanding of various methodologies of implementing the technologies in medical areas; Discusses the role machine learning and IoT play into locating different virus and diseases across the globe, such as COVID-19, Ebola, and cervical cancer; Includes fundamentals and advances in machine learning in the medical field, supported by significant case studies and practical applications.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Release date: February 2022
First published: 2022
Editors: Fadi Al-Turjman • Anand Nayyar
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 261
Edition: 1st ed. 2022
ISBN-13: 978-3-03-080927-0
Categories: Books > Computing & IT > Social & legal aspects of computing > Health & safety aspects of computing
Books > Medicine > Nursing & ancillary services > Biomedical engineering > General
Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General
Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 3-03-080927-7
Barcode: 9783030809270

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