Applications of Deep Learning and Big IoT on Personalized Healthcare Services is popular PDF and ePub book, written by Wason, Ritika in 2020-02-07, it is a fantastic choice for those who relish reading online the Medical genre. Let's immerse ourselves in this engaging Medical book by exploring the summary and details provided below. Remember, Applications of Deep Learning and Big IoT on Personalized Healthcare Services can be Read Online from any device for your convenience.
Applications of Deep Learning and Big IoT on Personalized Healthcare Services Book PDF Summary
Healthcare is an industry that has seen great advancements in personalized services through big data analytics. Despite the application of smart devices in the medical field, the mass volume of data that is being generated makes it challenging to correctly diagnose patients. This has led to the implementation of precise algorithms that can manage large amounts of information and successfully use smart living in medical environments. Professionals worldwide need relevant research on how to successfully implement these smart technologies within their own personalized healthcare processes. Applications of Deep Learning and Big IoT on Personalized Healthcare Services is a pivotal reference source that provides a collection of innovative research on the analytical methods and applications of smart algorithms for the personalized treatment of patients. While highlighting topics including cognitive computing, natural language processing, and supply chain optimization, this book is ideally designed for network designers, analysts, technology specialists, medical professionals, developers, researchers, academicians, and post-graduate students seeking relevant information on smart developments within individualized healthcare.
Detail Book of Applications of Deep Learning and Big IoT on Personalized Healthcare Services PDF
- Author : Wason, Ritika
- Release : 07 February 2020
- Publisher : IGI Global
- ISBN : 9781799821021
- Genre : Medical
- Total Page : 248 pages
- Language : English
- PDF File Size : 17,7 Mb
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