Name: Applications of Deep Learning and big iot on Personalized Healthcare Services (Advances in Medical Technologies and Clinical Practice) (en Inglés)
Price: 423810.00 CLP
Availability: InStock
ISBN: 9781799821014

portada Applications of Deep Learning and big iot on Personalized Healthcare Services (Advances in Medical Technologies and Clinical Practice) (en Inglés)

Formato

Libro Físico

Editorial

Medical Information Science Reference

Año

2020

Idioma

Inglés

N° páginas

272

Encuadernación

Tapa Dura

ISBN13

9781799821014

Categorías

Teoría matemática de la computación
Machine learning: aprendizaje automático

Applications of Deep Learning and big iot on Personalized Healthcare Services (Advances in Medical Technologies and Clinical Practice) (en Inglés)

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Applications of Deep Learning and big iot on Personalized Healthcare Services (Advances in Medical Technologies and Clinical Practice) (en Inglés)"

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.