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Machine Learning and AI for Healthcare - Big Data for Improved Health Outcomes (Paperback, 1st ed.)
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Machine Learning and AI for Healthcare - Big Data for Improved Health Outcomes (Paperback, 1st ed.)
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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. What You'll
Learn 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 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.
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