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Machine Learning and AI for Healthcare

Big Data for Improved Health Outcomes

Authors: Panesar, Arjun

  • Offers healthcare professionals a tech jargon-free understanding of the applications of machine learning in healthcare
  • Covers the ethics of data and learning governance and the hurdles that require addressing to achieve a long-term gain from machine learning and AI
  • Written by an award-winning researcher of intelligent systems that improve user experience through collaboration, machine learning, and data mining
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Buy this book

eBook $34.99
price for USA in USD
  • The eBook version of this title will be available soon
  • Due: December 25, 2020
  • ISBN 978-1-4842-6537-6
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Softcover $44.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: December 25, 2020
  • ISBN 978-1-4842-6536-9
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Please be advised Covid-19 shipping restrictions apply. Please review prior to ordering
About this book

This updated second edition offers a guided tour of machine learning algorithms and architecture design. It provides real-world applications of intelligent systems in healthcare and covers the challenges of managing big data.

The book has been updated with the latest research in massive data, machine learning, and AI ethics. It covers new topics in managing the complexities of massive data, and provides examples of complex machine learning models. Updated case studies from global healthcare providers showcase the use of big data and AI in the fight against chronic and novel diseases, including COVID-19. The ethical implications of digital healthcare, analytics, and the future of AI in population health management are explored. You will learn how to create a machine learning model, evaluate its performance, and operationalize its outcomes within your organization. Case studies from leading healthcare providers cover scaling global digital services. Techniques are presented to evaluate the efficacy, suitability, and efficiency of AI machine learning applications through case studies and best practice, including the Internet of Things.

You will understand how machine learning can be used to develop health intelligence–with the aim of improving patient health, population health, and facilitating significant care-payer cost savings.


What You Will Learn

  • Understand key machine learning algorithms and their use and implementation within healthcare
  • Implement machine learning systems, such as speech recognition and enhanced deep learning/AI
  • Manage the complexities of massive data
  • Be familiar with AI and healthcare best practices, feedback loops, and intelligent agents


Who This Book Is For
Health care professionals interested in how machine learning can be used to develop health intelligence – with the aim of improving patient health, population health and facilitating significant care-payer cost savings.

About the authors

Arjun Panesar is the founder of Diabetes Digital Media (DDM), the world’s largest diabetes community and provider of evidence-based digital health interventions. He holds an honors degree (MEng) in computing and artificial intelligence from Imperial College, London. He has a decade of experience in big data and affecting user outcomes, and leads the development of intelligent, evidence-based digital health interventions that harness the power of big data and machine learning to provide precision patient care to patients, health agencies, and governments worldwide.

Arjun’s work has received international recognition and was featured by the BBC, Forbes, New Scientist, and The Times. He has received innovation, business, and technology awards, including being named the top app for prevention of type 2 diabetes.

Arjun is an advisor to the Information School, at the University of Sheffield, Fellow to the NHS Innovation Accelerator, and was recognized by Imperial College as an Emerging Leader in 2020 for his contribution and impact to society.


Buy this book

eBook $34.99
price for USA in USD
  • The eBook version of this title will be available soon
  • Due: December 25, 2020
  • ISBN 978-1-4842-6537-6
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Softcover $44.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: December 25, 2020
  • ISBN 978-1-4842-6536-9
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Please be advised Covid-19 shipping restrictions apply. Please review prior to ordering
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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning and AI for Healthcare
Book Subtitle
Big Data for Improved Health Outcomes
Authors
Copyright
2021
Publisher
Apress
Copyright Holder
Arjun Panesar
eBook ISBN
978-1-4842-6537-6
DOI
10.1007/978-1-4842-6537-6
Softcover ISBN
978-1-4842-6536-9
Edition Number
2
Number of Pages
XXVIII, 407
Number of Illustrations
61 b/w illustrations
Topics