Big Data Analytics in Healthcare: Studies in Big Data, cartea 66
Editat de Anand J. Kulkarni, Patrick Siarry, Pramod Kumar Singh, Ajith Abraham, Mengjie Zhang, Albert Zomaya, Fazle Bakien Limba Engleză Paperback – 15 oct 2020
The book is divided into two main sections, the first of which discusses the challenges and opportunities associated with the implementation of big data in the healthcare sector. In turn, the second addresses the mathematical modeling of healthcare problems, as well as current and potential future big data applications and platforms.
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Paperback (1) | 984.17 lei 6-8 săpt. | |
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Springer International Publishing – 15 oct 2019 | 990.09 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783030316747
ISBN-10: 3030316742
Pagini: 187
Ilustrații: XI, 187 p. 55 illus., 37 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.29 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Big Data
Locul publicării:Cham, Switzerland
ISBN-10: 3030316742
Pagini: 187
Ilustrații: XI, 187 p. 55 illus., 37 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.29 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Big Data
Locul publicării:Cham, Switzerland
Cuprins
Big data analytics and its benefits in Health care.- Elements of Healthcare Big Data Analytics.- Big Data in Supply Chain Management and Medicinal Domain.- A Review of Big Data and its Applications in Healthcare and Public Sector- Innovative mHealth Solution for Reliable Patient Data Empowering Rural Health Care in Developing Countries.- Big Data Analytics in Healthcare using Spreadsheets.
Textul de pe ultima copertă
This book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare. The concept of big data is revolutionary, both from a technological and societal well-being standpoint. This book provides a comprehensive reference guide for engineers, scientists, and students studying/involved in the development of big data tools in the areas of healthcare and medicine. It also features a multifaceted and state-of-the-art literature review on healthcare data, its modalities, complexities, and methodologies, along with mathematical formulations.
The book is divided into two main sections, the first of which discusses the challenges and opportunities associated with the implementation of big data in the healthcare sector. In turn, the second addresses the mathematical modeling of healthcare problems, as well as current and potential future big data applications and platforms.
The book is divided into two main sections, the first of which discusses the challenges and opportunities associated with the implementation of big data in the healthcare sector. In turn, the second addresses the mathematical modeling of healthcare problems, as well as current and potential future big data applications and platforms.
Caracteristici
Presents novel as well as modified heuristics and metaheuristics along with its validation by solving complex big data problems associated with healthcare Discusses a multifaceted and state-of-the-art literature survey associated with the healthcare data, their modalities, complexities and methodologies along with a complete mathematical formulation Provides recent research on big data analytics in healthcare