Providing Healthcare-as-a-Service Using Fuzzy Rule Based Big Data Analytics in Cloud Computing.

Jindal, A; Dua, A; Kumar, N; Das, AK; Vasilakos, AV; Rodrigues, JJPC

Providing Healthcare-as-a-Service Using Fuzzy Rule Based Big Data Analytics in Cloud Computing.

Jindal, A Dua, A Kumar, N Das, AK Vasilakos, AV Rodrigues, JJPC

Permalink

Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE J Biomed Health Inform, 2018, 22, (5), pp. 1605-1618
Issue Date:: 2018-09

Closed Access

	Filename	Description	Size
	Providing_Healthcare-as-a-Service_Using_Fuzzy_Rule_Based_Big_Data_Analytics_in_Cloud_Computing.pdf	Published version	1.15 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Jindal, A
dc.contributor.author	Dua, A
dc.contributor.author	Kumar, N
dc.contributor.author	Das, AK
dc.contributor.author	Vasilakos, AV
dc.contributor.author	Rodrigues, JJPC
dc.date.accessioned	2022-08-29T22:29:09Z
dc.date.available	2022-08-29T22:29:09Z
dc.date.issued	2018-09
dc.identifier.citation	IEEE J Biomed Health Inform, 2018, 22, (5), pp. 1605-1618
dc.identifier.issn	2168-2194
dc.identifier.issn	2168-2208
dc.identifier.uri	http://hdl.handle.net/10453/161059
dc.description.abstract	With advancements in information and communication technology, there is a steep increase in the remote healthcare applications in which patients can get treatment from the remote places also. The data collected about the patients by remote healthcare applications constitute big data because it varies with volume, velocity, variety, veracity, and value. To process such a large collection of heterogeneous data is one of the biggest challenges which requires a specialized approach. To address this challenge, a new fuzzy rule based classifier is presented in this paper with an aim to provide Healthcare-as-a-Service. The proposed scheme is based upon the initial cluster formation, retrieval, and processing of the big data in cloud environment. Then, a fuzzy rule based classifier is designed for efficient decision making for data classification in the proposed scheme. To perform inferencing from the collected data, membership functions are designed for fuzzification and defuzzification processes. The proposed scheme is evaluated on various evaluation metrics, such as average response time, accuracy, computation cost, classification time, and false positive ratio. The results obtained confirm the effectiveness of the proposed scheme with respect to various performance evaluation metrics in cloud computing environment.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE J Biomed Health Inform
dc.relation.isbasedon	10.1109/JBHI.2018.2799198
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	08 Information and Computing Sciences, 09 Engineering, 11 Medical and Health Sciences
dc.subject.classification	Medical Informatics
dc.subject.mesh	Cloud Computing
dc.subject.mesh	Computer Communication Networks
dc.subject.mesh	Fuzzy Logic
dc.subject.mesh	Humans
dc.subject.mesh	Medical Informatics Applications
dc.subject.mesh	Humans
dc.subject.mesh	Fuzzy Logic
dc.subject.mesh	Computer Communication Networks
dc.subject.mesh	Medical Informatics Applications
dc.subject.mesh	Cloud Computing
dc.title	Providing Healthcare-as-a-Service Using Fuzzy Rule Based Big Data Analytics in Cloud Computing.
dc.type	Journal Article
utslib.citation.volume	22
utslib.location.activity	United States
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
utslib.for	11 Medical and Health Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2022-08-29T22:29:08Z
pubs.issue	5
pubs.publication-status	Published
pubs.volume	22
utslib.citation.issue	5

Abstract:

With advancements in information and communication technology, there is a steep increase in the remote healthcare applications in which patients can get treatment from the remote places also. The data collected about the patients by remote healthcare applications constitute big data because it varies with volume, velocity, variety, veracity, and value. To process such a large collection of heterogeneous data is one of the biggest challenges which requires a specialized approach. To address this challenge, a new fuzzy rule based classifier is presented in this paper with an aim to provide Healthcare-as-a-Service. The proposed scheme is based upon the initial cluster formation, retrieval, and processing of the big data in cloud environment. Then, a fuzzy rule based classifier is designed for efficient decision making for data classification in the proposed scheme. To perform inferencing from the collected data, membership functions are designed for fuzzification and defuzzification processes. The proposed scheme is evaluated on various evaluation metrics, such as average response time, accuracy, computation cost, classification time, and false positive ratio. The results obtained confirm the effectiveness of the proposed scheme with respect to various performance evaluation metrics in cloud computing environment.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/161059