Big Data Analytics in Healthcare

1. Auflage 2020
ISBN: 978-3-030-31671-6
Verlag: Springer International Publishing

Buch, Englisch, Band 66, 187 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 471 g

Reihe: Studies in Big Data

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.

Zielgruppe

Research

Autoren/Hrsg.

Kulkarni, Anand J.

Siarry, Patrick

Singh, Pramod Kumar

Baki, Fazle

Abraham, Ajith

Zhang, Mengjie

Zomaya, Albert

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik

Inhaltsverzeichnis

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.