Machine Learning and AI for Healthcare: Big Data for Improved Health Outcomes

Panesar, Arjun

ISBN 10: 1484237986 / ISBN 13: 9781484237984

Editore: Apress, 2019

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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. Codice articolo GOR011476131

Dati bibliografici

Titolo: Machine Learning and AI for Healthcare: Big ...

Casa editrice: Apress

Data di pubblicazione: 2019

Legatura: Paperback

Condizione: Very Good

Descrizione articolo

Riassunto:

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.

Youll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization.   Youll 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.

Informazioni sull?autore:

Arjun Panesar is the founder of Diabetes Digital Media (DDM), the worlds 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.