EAN: 9781484265369

MACHINE LEARNING AND AI FOR HEALTHCARE - ARJUN ...

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 ForHealth 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.

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