A MapReduce based distributed framework for similarity search in healthcare big data environment

Hiren K.D. Sarma; Yogesh K. Dwivedi; Nripendra P. Rana; Emma L. Slade

doi:10.1007/978-3-319-25013-7_14

A MapReduce based distributed framework for similarity search in healthcare big data environment

Hiren K.D. Sarma
, Yogesh K. Dwivedi^*
, Nripendra P. Rana
, Emma L. Slade

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Similarity search in the big data environment is a challenging task. Patient Similarity search (PaSi) is an important issue in healthcare network and data. The results of PaSi search may be highly useful for drawing different conclusions and decisions to improve healthcare systems. Such findings can also be useful for choosing the treatment paths for new patients. In this paper, we propose a MapReduce based framework as a solution to the PaSi problem in the context of a healthcare network imagined to be implemented considering the healthcare centers of India. It is assumed that such a healthcare network will be implemented in future over the Government of India cloud known as GI cloud or ‘MeghRaj’. The paper also discusses the associated implementation challenges of the proposed framework and the query handling approach for the proposed framework to solve the PaSi problem is stated. Finally, the paper outlines the future scope of the work.

Original language	English
Title of host publication	Open and Big Data Management and Innovation - 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015, Proceedings
Editors	Winfried Lamersdorf, Jan Hidders, Marijn Janssen, Bram Klievink, Anneke Zuiderwijk, Matti Mäntymäki, Bastiaan van Loenen
Publisher	Springer Verlag
Pages	173-182
Number of pages	10
ISBN (Print)	9783319250120
DOIs	https://doi.org/10.1007/978-3-319-25013-7_14
State	Published - 2015
Externally published	Yes
Event	14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015 - Delft, Netherlands Duration: 13 Oct 2015 → 15 Oct 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9373
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015
Country/Territory	Netherlands
City	Delft
Period	13/10/15 → 15/10/15

Bibliographical note

Publisher Copyright:
© IFIP International Federation for Information Processing 2015.

Keywords

Big data
Cloud
Framework
MapReduce
Patient similarity(PaSi)
Similarity search

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-25013-7_14

Cite this

Sarma, H. K. D., Dwivedi, Y. K., Rana, N. P., & Slade, E. L. (2015). A MapReduce based distributed framework for similarity search in healthcare big data environment. In W. Lamersdorf, J. Hidders, M. Janssen, B. Klievink, A. Zuiderwijk, M. Mäntymäki, & B. van Loenen (Eds.), Open and Big Data Management and Innovation - 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015, Proceedings (pp. 173-182). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9373). Springer Verlag. https://doi.org/10.1007/978-3-319-25013-7_14

Sarma, Hiren K.D. ; Dwivedi, Yogesh K. ; Rana, Nripendra P. et al. / A MapReduce based distributed framework for similarity search in healthcare big data environment. Open and Big Data Management and Innovation - 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015, Proceedings. editor / Winfried Lamersdorf ; Jan Hidders ; Marijn Janssen ; Bram Klievink ; Anneke Zuiderwijk ; Matti Mäntymäki ; Bastiaan van Loenen. Springer Verlag, 2015. pp. 173-182 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{5bd50898b62d444d86bc8c103bffa053,

title = "A MapReduce based distributed framework for similarity search in healthcare big data environment",

abstract = "Similarity search in the big data environment is a challenging task. Patient Similarity search (PaSi) is an important issue in healthcare network and data. The results of PaSi search may be highly useful for drawing different conclusions and decisions to improve healthcare systems. Such findings can also be useful for choosing the treatment paths for new patients. In this paper, we propose a MapReduce based framework as a solution to the PaSi problem in the context of a healthcare network imagined to be implemented considering the healthcare centers of India. It is assumed that such a healthcare network will be implemented in future over the Government of India cloud known as GI cloud or {\textquoteleft}MeghRaj{\textquoteright}. The paper also discusses the associated implementation challenges of the proposed framework and the query handling approach for the proposed framework to solve the PaSi problem is stated. Finally, the paper outlines the future scope of the work.",

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author = "Sarma, \{Hiren K.D.\} and Dwivedi, \{Yogesh K.\} and Rana, \{Nripendra P.\} and Slade, \{Emma L.\}",

note = "Publisher Copyright: {\textcopyright} IFIP International Federation for Information Processing 2015.; 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015 ; Conference date: 13-10-2015 Through 15-10-2015",

year = "2015",

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booktitle = "Open and Big Data Management and Innovation - 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015, Proceedings",

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Sarma, HKD, Dwivedi, YK, Rana, NP & Slade, EL 2015, A MapReduce based distributed framework for similarity search in healthcare big data environment. in W Lamersdorf, J Hidders, M Janssen, B Klievink, A Zuiderwijk, M Mäntymäki & B van Loenen (eds), Open and Big Data Management and Innovation - 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9373, Springer Verlag, pp. 173-182, 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015, Delft, Netherlands, 13/10/15. https://doi.org/10.1007/978-3-319-25013-7_14

A MapReduce based distributed framework for similarity search in healthcare big data environment. / Sarma, Hiren K.D.; Dwivedi, Yogesh K.; Rana, Nripendra P. et al.
Open and Big Data Management and Innovation - 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015, Proceedings. ed. / Winfried Lamersdorf; Jan Hidders; Marijn Janssen; Bram Klievink; Anneke Zuiderwijk; Matti Mäntymäki; Bastiaan van Loenen. Springer Verlag, 2015. p. 173-182 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9373).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A MapReduce based distributed framework for similarity search in healthcare big data environment

AU - Sarma, Hiren K.D.

AU - Dwivedi, Yogesh K.

AU - Rana, Nripendra P.

AU - Slade, Emma L.

N1 - Publisher Copyright: © IFIP International Federation for Information Processing 2015.

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AB - Similarity search in the big data environment is a challenging task. Patient Similarity search (PaSi) is an important issue in healthcare network and data. The results of PaSi search may be highly useful for drawing different conclusions and decisions to improve healthcare systems. Such findings can also be useful for choosing the treatment paths for new patients. In this paper, we propose a MapReduce based framework as a solution to the PaSi problem in the context of a healthcare network imagined to be implemented considering the healthcare centers of India. It is assumed that such a healthcare network will be implemented in future over the Government of India cloud known as GI cloud or ‘MeghRaj’. The paper also discusses the associated implementation challenges of the proposed framework and the query handling approach for the proposed framework to solve the PaSi problem is stated. Finally, the paper outlines the future scope of the work.

KW - Big data

KW - Cloud

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DO - 10.1007/978-3-319-25013-7_14

M3 - Conference contribution

AN - SCOPUS:84951819522

SN - 9783319250120

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 173

EP - 182

BT - Open and Big Data Management and Innovation - 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015, Proceedings

A2 - Lamersdorf, Winfried

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A2 - Klievink, Bram

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Sarma HKD, Dwivedi YK, Rana NP, Slade EL. A MapReduce based distributed framework for similarity search in healthcare big data environment. In Lamersdorf W, Hidders J, Janssen M, Klievink B, Zuiderwijk A, Mäntymäki M, van Loenen B, editors, Open and Big Data Management and Innovation - 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015, Proceedings. Springer Verlag. 2015. p. 173-182. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-25013-7_14

A MapReduce based distributed framework for similarity search in healthcare big data environment

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this