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Erschienen in:
Introduction to Large-Scale Distributed Computing in Smart Healthcare Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Big Healthcare Data Analytics: Challenges and Applications

verfasst von : Chonho Lee, Zhaojing Luo, Kee Yuan Ngiam, Meihui Zhang, Kaiping Zheng, Gang Chen, Beng Chin Ooi, Wei Luen James Yip

Erschienen in: Handbook of Large-Scale Distributed Computing in Smart Healthcare

Verlag: Springer International Publishing

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Abstract

Increasing demand and costs for healthcare, exacerbated by ageing populations and a great shortage of doctors, are serious concerns worldwide. Consequently, this has generated a great amount of motivation in providing better healthcare through smarter healthcare systems. Management and processing of healthcare data are challenging due to various factors that are inherent in the data itself such as high-dimensionality, irregularity and sparsity. A long stream of research has been proposed to address these problems and provide more efficient and scalable healthcare systems and solutions. In this chapter, we shall examine the challenges in designing algorithms and systems for healthcare analytics and applications, followed by a survey on various relevant solutions. We shall also discuss next-generation healthcare applications, services and systems, that are related to big healthcare data analytics.

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Vorheriges Kapitel Introduction to Large-Scale Distributed Computing in Smart Healthcare
Nächstes Kapitel Process Streaming Healthcare Data with Adaptive MapReduce Framework
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Metadaten
Titel
Big Healthcare Data Analytics: Challenges and Applications
verfasst von
Chonho Lee
Zhaojing Luo
Kee Yuan Ngiam
Meihui Zhang
Kaiping Zheng
Gang Chen
Beng Chin Ooi
Wei Luen James Yip
Copyright-Jahr
2017
Buch
Handbook of Large-Scale Distributed Computing in Smart Healthcare

Print ISBN: 978-3-319-58279-5

Electronic ISBN: 978-3-319-58280-1

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-58280-1_2