Machine Learning and AI for Healthcare

Big Data for Improved Health Outcomes

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Éditeur :

Apress


Paru le : 2020-12-15



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Description



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 Learn

Understand 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 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.
Pages
407 pages
Collection
n.c
Parution
2020-12-15
Marque
Apress
EAN papier
9781484265369
EAN PDF
9781484265376

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
40
Taille du fichier
6175 Ko
Prix
56,19 €
EAN EPUB
9781484265376

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
40
Taille du fichier
4127 Ko
Prix
56,19 €

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