Machine Learning and AI for Healthcare: Big Data for Improved Health Outcomes
Language: English
Published by Apress, 2019
- Softcover
- Used
Seller: WorldofBooks, Goring-By-Sea, WS, United KingdomWorldofBooks
AbeBooks seller since March 16, 2007
Condition: Used - Very good
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The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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- Title
- Machine Learning and AI for Healthcare: Big Data for Improved Health Outcomes
- Author
- Panesar, Arjun
- Publisher
- Apress
- Publication year
- 2019
- Condition
- Very Good
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1484237986
- ISBN 13
- 9781484237984
- Item weight
- 558 grams
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
"Synopsis" may belong to another edition of this title.
About the Author
Arjun Panesar is the founder of Diabetes Digital Media (DDM), the world’s largest diabetes community and provider of evidence-based digital health interventions. Arjun holds a first-class honors degree (MEng) in Computing and Artificial Intelligence from Imperial College, London. Benefiting from a decade of experience in big data and affecting user outcomes, Arjun leads the development of intelligent, evidence-based digital health interventions that harness the power of big data and machine learning to provide precision patient care to patients, health agencies and governments worldwide.
"About the title" may belong to another edition of this title.
WorldofBooks
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