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Big Data Analytics in Healthcare

  • Anand J. Kulkarni
  • Patrick Siarry
  • Pramod Kumar Singh
  • Ajith Abraham
  • Mengjie Zhang
  • Albert Zomaya
  • Fazle Baki
Book

Part of the Studies in Big Data book series (SBD, volume 66)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Challenges, Opportunities, Platforms and Tools of Big Data in Healthcare

    1. Front Matter
      Pages 1-1
    2. Yogesh Kumar, Kanika Sood, Surabhi Kaul, Richa Vasuja
      Pages 3-21
    3. Nishita Mehta, Anil Pandit, Meenal Kulkarni
      Pages 23-43
    4. Aniket Nargundkar, Anand J. Kulkarni
      Pages 45-54
    5. Ganesh M. Kakandikar, Vilas M. Nandedkar
      Pages 67-81
  3. Mathematical Modeling and Solutions, Big Data Applications, and Platforms

    1. Front Matter
      Pages 105-105
    2. Dhanalekshmi P. Yedurkar, Shilpa P. Metkar
      Pages 143-153
    3. Samaya Pillai Iyengar, Haridas Acharya, Manik Kadam
      Pages 155-187

About this book

Introduction

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.

Keywords

Big Data Analytics Big Data Healthcare Healthcare Data Metaheuristics

Editors and affiliations

  • Anand J. Kulkarni
    • 1
  • Patrick Siarry
    • 2
  • Pramod Kumar Singh
    • 3
  • Ajith Abraham
    • 4
  • Mengjie Zhang
    • 5
  • Albert Zomaya
    • 6
  • Fazle Baki
    • 7
  1. 1.Symbiosis Institute of TechnologySymbiosis International (Deemed University)PuneIndia
  2. 2.Université Paris-Est Créteil Val de MarneCréteilFrance
  3. 3.ABV-Indian Institute of Information Technology and Management GwaliorGwaliorIndia
  4. 4.Scientific Network for Innovation and Research ExcellenceMachine Intelligence Research Labs (MIR Labs)AuburnUSA
  5. 5.School of Engineering and Computer ScienceVictoria University of WellingtonKelburnNew Zealand
  6. 6.School of Computer ScienceUniversity of SydneySydneyAustralia
  7. 7.Odette School of BusinessUniversity of WindsorWindsorCanada

Bibliographic information