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{ "item_title" : "Machine Learning for Critical Internet of Medical Things", "item_author" : [" Fadi Al-Turjman", "Anand Nayyar "], "item_description" : "Introduction.- An Introduction to Basic Concepts on Machine Learning, its architecture and framework.- Machine Learning Models and techniques.- Diseases diagnosis and prediction using Machine Learning.- Machine learning for Mobile/e-health, Tele-medical and Remote healthcare networks.- Machine learning in biomedical, Neuro-critical and medical image processing field.- AI, Deep learning and machine learning enabled connected health informatics.- Machine learning enabled smart healthcare system.- Machine learning based efficient health monitoring systems.- Machine learning case study for virus disease Ebola, COVID-19 consequences.- CASE Study: Machine Learning in Medical domain for Cervical Cancer.- Use cases and applications of machine learning in medical domain.- Conclusion.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/03/080/927/3030809277_b.jpg", "price_data" : { "retail_price" : "179.99", "online_price" : "179.99", "our_price" : "179.99", "club_price" : "179.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Machine Learning for Critical Internet of Medical Things|Fadi Al-Turjman

Machine Learning for Critical Internet of Medical Things : Applications and Use Cases

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Overview

Introduction.- An Introduction to Basic Concepts on Machine Learning, its architecture and framework.- Machine Learning Models and techniques.- Diseases diagnosis and prediction using Machine Learning.- Machine learning for Mobile/e-health, Tele-medical and Remote healthcare networks.- Machine learning in biomedical, Neuro-critical and medical image processing field.- AI, Deep learning and machine learning enabled connected health informatics.- Machine learning enabled smart healthcare system.- Machine learning based efficient health monitoring systems.- Machine learning case study for virus disease Ebola, COVID-19 consequences.- CASE Study: Machine Learning in Medical domain for Cervical Cancer.- Use cases and applications of machine learning in medical domain.- Conclusion.


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Details

  • ISBN-13: 9783030809270
  • ISBN-10: 3030809277
  • Publisher: Springer
  • Publish Date: February 2022
  • Dimensions: 9.21 x 6.14 x 0.63 inches
  • Shipping Weight: 1.23 pounds
  • Page Count: 261

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