Atnaujinkite slapukų nuostatas

Big Data Analytics in Healthcare 2020 ed. [Kietas viršelis]

Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by
  • Formatas: Hardback, 187 pages, aukštis x plotis: 235x155 mm, weight: 471 g, 37 Illustrations, color; 18 Illustrations, black and white; XI, 187 p. 55 illus., 37 illus. in color., 1 Hardback
  • Serija: Studies in Big Data 66
  • Išleidimo metai: 15-Oct-2019
  • Leidėjas: Springer Nature Switzerland AG
  • ISBN-10: 3030316718
  • ISBN-13: 9783030316716
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 187 pages, aukštis x plotis: 235x155 mm, weight: 471 g, 37 Illustrations, color; 18 Illustrations, black and white; XI, 187 p. 55 illus., 37 illus. in color., 1 Hardback
  • Serija: Studies in Big Data 66
  • Išleidimo metai: 15-Oct-2019
  • Leidėjas: Springer Nature Switzerland AG
  • ISBN-10: 3030316718
  • ISBN-13: 9783030316716
Kitos knygos pagal šią temą:
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.
Challenges, Opportunities, Platforms and Tools of Big Data in Healthcare
Big Data Analytics and Its Benefits in Healthcare
3(20)
Yogesh Kumar
Kanika Sood
Surabhi Kaul
Richa Vasuja
Elements of Healthcare Big Data Analytics
23(22)
Nishita Mehta
Anil Pandit
Meenal Kulkarni
Big Data in Supply Chain Management and Medicinal Domain
45(10)
Aniket Nargundkar
Anand J. Kulkarni
A Review of Big Data and Its Applications in Healthcare and Public Sector
55(12)
Apoorva Shastri
Mihir Deshpande
Big Data in Healthcare: Technical Challenges and Opportunities
67(16)
Ganesh M. Kakandikar
Vilas M. Nandedkar
Innovative mHealth Solution for Reliable Patient Data Empowering Rural HealthCare in Developing Countries
83(24)
Jay Rajasekera
Aditi Vivek Mishal
Yoshie Mori
Mathematical Modeling and Solutions, Big Data Applications, and Platforms
Hospital Surgery Scheduling Under Uncertainty Using Multiobjective Evolutionary Algorithms
107(36)
Kazi Shah Nawaz Ripon
Jacob Henrik Nyman
Big Data in Electroencephalography Analysis
143(12)
Dhanalekshmi P. Yedurkar
Shilpa P. Metkar
Big Data Analytics in Healthcare Using Spreadsheets
155
Samaya Pillai Iyengar
Haridas Acharya
Manik Kadam