Machine learning healthcare big data von panesar arjun (22 Ergebnisse)

Paperback. Zustand: Very Good. Second. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Zustand: Good. 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 LearnGain 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/AISelect learning methods/algorithms and tuning for use in healthcareRecognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agentsWho This Book Is ForHealth 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.…

Paperback. Zustand: Good. 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 LearnGain 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/AISelect learning methods/algorithms and tuning for use in healthcareRecognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agentsWho This Book Is ForHealth 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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paperback. Zustand: VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.

Paperback or Softback. Zustand: New. Machine Learning and AI for Healthcare: Big Data for Improved Health Outcomes. Book.

Paperback. Zustand: Very Good. 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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Zustand: New. 2020. 2nd ed. Paperback. . . . . .

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Paperback. Zustand: Brand New. 2nd edition. 407 pages. 9.75x7.00x1.00 inches. In Stock.

Taschenbuch. Zustand: Neu. Machine Learning and AI for Healthcare | Big Data for Improved Health Outcomes | Arjun Panesar | Taschenbuch | xxx | Englisch | 2020 | Apress | EAN 9781484265369 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Intermediate user level|Offers healthcare professionals a tech jargon-free understanding of the applications of machine learning in healthcareCovers the ethics of data and learning governance and the hurdles that require .…

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This updated second edition offers a guided tour of machine learning algorithms and architecture design. It provides real-world applications of intelligent systems in healthcare and covers the challenges of managing big data.The book has been updated with the latest research in massive data, machine learning, and AI ethics. It covers new topics in managing the complexities of massive data, and provides examples of complex machine learning models. Updated case studies from global healthcare providers showcase the use of big data and AI in the fight against chronic and novel diseases, including COVID-19. The ethical implications of digital healthcare, analytics, and the future of AI in population health management are explored. You will learn how to create a machine learning model, evaluate its performance, and operationalize its outcomes within your organization. Case studies from leading healthcare providers cover scaling global digital services. Techniques are presented to evaluate the efficacy, suitability, and efficiency of AI machine learning applications through case studies and best practice, including the Internet of Things.You will understand 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.What You Will LearnUnderstand key machine learning algorithms and their use and implementation within healthcareImplement machine learning systems, such as speech recognition and enhanced deep learning/AIManage the complexities of massive dataBe familiar with AI and healthcare best practices, feedback loops, and intelligent agentsWho This Book Is ForHealth care professionalsinterested 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.…