| Description |
1 online resource (xi, 187 pages) |
| Series |
Studies in Big Data ; v. 66 |
|
Studies in big data ; v. 66.
|
| Contents |
Part I: Challenges, Opportunities, Platforms, and Tools of Big Data in Healthcare -- Big Data Analytics and Its Benefits in Healthcare / Yogesh Kumar, Kanika Sood, Surabhi Kaul, Richa Vasuja -- Elements of healthcare big data analytics / Nishita Mehta, Anil Pandit, Meenal Kulkarni -- Big data in supply chain management and medicinal domain / Aniket Nargundkar, Anand J. Kulkarni -- A review of big data and its applications in healthcare and public sector / Apoorva Shastri, Mihir Deshpande -- Big data healthcare: technical challenges and opportunities / Ganesh M. Kakandikar, Vilas M. Nandedkar -- Innovative mHealth solution for reliable patient data empowering rural healthcare in developing countries / Jay Rajasekera, Aditi Vivek Mishal, Yoshie Mori -- Part II: Mathematical Modeling and Solutions, Big Data Applications, and Platforms -- Hospital surgery scheduling under uncertainity using multiobjective evolutionary algorithms / Kazi Shah Nawaz Ripon, Jacob Henrik Nyman -- Big data in electroencephalogpraphy analysis / Dhanalekshmi P. Yedurkar, Shilpa P. Metkar-- Big data analysis in healthcare using spreadsheets / Samaya Pillai Iyengar, Haridas Acharya, Manik Kadam |
| Summary |
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 |
| Notes |
Print version record |
| Subject |
Big data.
|
|
Medical informatics.
|
|
Medicine -- Data processing.
|
|
Medicine -- Data processing
|
|
Big data
|
|
Medical informatics
|
| Form |
Electronic book
|
| Author |
Kulkarni, Anand Jayant.
|
|
Siarry, Patrick.
|
|
Singh, Pramod Kumar
|
|
Abraham, Ajith, 1968-
|
|
Zhang, Mengjie.
|
|
Zomaya, Albert Y.
|
|
Baki, Fazle
|
| ISBN |
9783030316723 |
|
3030316726 |
|
9783030316730 |
|
3030316734 |
|
9783030316747 |
|
3030316742 |
|
