Online learning towards big data analysis in health informatics

Jing Wang, Zhong Qiu Zhao, Xuegang Hu, Yiu Ming Cheung, Haibo Hu, Fangqing Gu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

The exponential increase of data in health informatics has brought a lot of challenges in terms of data transfer, storage, computation and analysis. One of the popular solutions to the above challenges is the cloud computing technology. However, the cloud computing technology requires high-performance computers and is only accessible with internet. In this paper, we introduce online learning and propose our method for data mining of big data in health informatics. In contrast to traditional data analysis scenario, online learning will preform the data analysis dynamically by the time the data are generated. The online learning method is efficient and especially adaptable to the online health care systems. We demonstrate the effectiveness of our online learning method on several real-world data sets.
Original languageEnglish
Title of host publicationBrain and Health Informatics - International Conference, BHI 2013, Proceedings
Pages516-523
Number of pages8
DOIs
Publication statusPublished - 1 Dec 2013
Externally publishedYes
EventInternational Conference on Brain and Health Informatics, BHI 2013 - Maebashi, Japan
Duration: 29 Oct 201331 Oct 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8211 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Brain and Health Informatics, BHI 2013
CountryJapan
CityMaebashi
Period29/10/1331/10/13

Keywords

  • Big data
  • Health informatics
  • Online learning

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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