Machine Learning and AI for Healthcare

• Offers health care professionals a tech jargon-free understanding of the possible applications of machine learning in health care
• Covers the ethics of data and learning governance and the hurdles that require addressing in order for long-term gain from machine learning and AI
• Written by Arjun Panesar, award-winning researcher of intelligent systems in improving user experience through collaboration, machine learning and data mining

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Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges.

You’ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You’ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization.

Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things.

• Gain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare
• Implement machine learning systems, such as speech recognition and enhanced deep learning/AI
• Select learning methods/algorithms and tuning for use in healthcare
• Recognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agents

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.