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Machine Learning For Critical Internet Of Medical Things Applications And Use Cases 1st Ed 2022 Fadi Alturjman Editor

Name: Machine Learning For Critical Internet Of Medical Things Applications And Use Cases 1st Ed 2022 Fadi Alturjman Editor
SKU: BELL-38303136
Price: 31.00 USD
Availability: InStock
Rating: 5 (78 reviews)

SKU: BELL-38303136

$ 31.00 ~~$ 45.00~~ (-31%)

5.0

78 reviews

Machine Learning For Critical Internet Of Medical Things Applications And Use Cases 1st Ed 2022 Fadi Alturjman Editor instant download after payment.

Publisher: Springer

File Extension: PDF

File size: 8.51 MB

Pages: 271

Author: Fadi Al-Turjman (editor), Anand Nayyar (editor)

ISBN: 9783030809270, 3030809277

Language: English

Year: 2022

Edition: 1st ed. 2022

Product desciption

Machine Learning For Critical Internet Of Medical Things Applications And Use Cases 1st Ed 2022 Fadi Alturjman Editor by Fadi Al-turjman (editor), Anand Nayyar (editor) 9783030809270, 3030809277 instant download after payment.

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.