As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large data sets, researchers and medical professionals must find new methods to analyze and extract
Big Data Analytics in Healthcare
โ Scribed by Anand J. Kulkarni, Patrick Siarry, Pramod Kumar Singh, Ajith Abraham, Mengjie Zhang, Albert Zomaya, Fazle Baki
- Publisher
- Springer International Publishing
- Year
- 2020
- Tongue
- English
- Leaves
- 193
- Series
- Studies in Big Data 66
- Edition
- 1st ed. 2020
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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.โฆ Table of Contents
Front Matter ....Pages i-xi
Front Matter ....Pages 1-1
Big Data Analytics and Its Benefits in Healthcare (Yogesh Kumar, Kanika Sood, Surabhi Kaul, Richa Vasuja)....Pages 3-21
Elements of Healthcare Big Data Analytics (Nishita Mehta, Anil Pandit, Meenal Kulkarni)....Pages 23-43
Big Data in Supply Chain Management and Medicinal Domain (Aniket Nargundkar, Anand J. Kulkarni)....Pages 45-54
A Review of Big Data and Its Applications in Healthcare and Public Sector (Apoorva Shastri, Mihir Deshpande)....Pages 55-66
Big Data in Healthcare: Technical Challenges and Opportunities (Ganesh M. Kakandikar, Vilas M. Nandedkar)....Pages 67-81
Innovative mHealth Solution for Reliable Patient Data Empowering Rural Healthcare in Developing Countries (Jay Rajasekera, Aditi Vivek Mishal, Yoshie Mori)....Pages 83-104
Front Matter ....Pages 105-105
Hospital Surgery Scheduling Under Uncertainty Using Multiobjective Evolutionary Algorithms (Kazi Shah Nawaz Ripon, Jacob Henrik Nyman)....Pages 107-142
Big Data in Electroencephalography Analysis (Dhanalekshmi P. Yedurkar, Shilpa P. Metkar)....Pages 143-153
Big Data Analytics in Healthcare Using Spreadsheets (Samaya Pillai Iyengar, Haridas Acharya, Manik Kadam)....Pages 155-187
โฆ Subjects
Engineering; Computational Intelligence; Big Data; Health Care Management
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