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TitleMachine Learning and AI for Healthcare [electronic resource] : Big Data for Improved Health Outcomes / by Arjun Panesar
ImprintBerkeley, CA : Apress : Imprint: Apress, 2019
Connect tohttps://doi.org/10.1007/978-1-4842-3799-1
Descript XXVI, 368 p. 52 illus. online resource

SUMMARY

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


CONTENT

Chapter 1: What is Artificial Intelligence -- Chapter 2: Data -- Chapter 3: What is Machine learning? -- Chapter 4: Machine learning in healthcare -- Chapter 5: Evaluating learning for intelligence -- Chapter 6: Ethics of intelligence -- Chapter 7: The future of healthcare -- Chapter 8: Case studies.


Artificial intelligence Big data Open source software Computer programming Artificial Intelligence. http://scigraph.springernature.com/things/product-market-codes/I21000 Big Data. http://scigraph.springernature.com/things/product-market-codes/I29120 Open Source. http://scigraph.springernature.com/things/product-market-codes/I29090



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