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Machine learning and AI for healthca...

Panesar, Arjun.

Machine learning and AI for healthcarebig data for improved health outcomes /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning and AI for healthcareby Arjun Panesar.
Reminder of title:	big data for improved health outcomes /
Author:	Panesar, Arjun.
Published:	Berkeley, CA :Apress :2019.
Description:	xxvi, 368 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Artificial intelligenceMedical applications.
Online resource:	https://doi.org/10.1007/978-1-4842-3799-1
ISBN:	9781484237991$q(electronic bk.)

Machine learning and AI for healthcarebig data for improved health outcomes /
Panesar, Arjun.

Machine learning and AI for healthcarebig data for improved health outcomes /[electronic resource] :by Arjun Panesar. - Berkeley, CA :Apress :2019. - xxvi, 368 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9781484237991$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-3799-1doiSubjects--Topical Terms:

237917
Artificial intelligence
--Medical applications.

LC Class. No.: R859.7.A78

Dewey Class. No.: 610.28563

Machine learning and AI for healthcarebig data for improved health outcomes /
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520 $a 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.
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