An optimized hybrid dynamic Bayesian network approach using differential evolution algorithm for the diagnosis of Hepatocellular Carcinoma

Arinze Akutekwe; Huseyin Seker; Sunday Iliya

doi:10.1109/ICASTECH.2014.7068140

An optimized hybrid dynamic Bayesian network approach using differential evolution algorithm for the diagnosis of Hepatocellular Carcinoma

Arinze Akutekwe, Huseyin Seker, Sunday Iliya

De Montfort University

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

2 Citations (SciVal)

Original language	English
Title of host publication	ICAST 2014 - 2014 IEEE 6th International Conference on Adaptive Science and Technology, Proceedings
Editors	Charles K. Ayo, Sanjay Misra, Nicholas Omoregbe, Adewole Adewumi, Babafemi Odusote
Publisher	IEEE Computer Society
ISBN (Electronic)	9781479949984
DOIs	https://doi.org/10.1109/ICASTECH.2014.7068140
Publication status	Published (VoR) - 25 Mar 2015
Event	2014 6th IEEE International Conference on Adaptive Science and Technology, ICAST 2014 - Ota, Nigeria Duration: 29 Oct 2014 → 31 Oct 2014

Publication series

Name	IEEE International Conference on Adaptive Science and Technology, ICAST
Volume	2015-January
ISSN (Print)	2326-9413
ISSN (Electronic)	2326-9448

Conference

Conference	2014 6th IEEE International Conference on Adaptive Science and Technology, ICAST 2014
Country/Territory	Nigeria
City	Ota
Period	29/10/14 → 31/10/14

Keywords

Differenctial Evolution
Dynamic Bayesian Network
Gene Expression
Hepatocellular Carcinoma
Support Vector Machine

Access to Document

10.1109/ICASTECH.2014.7068140

Cite this

Akutekwe, A., Seker, H., & Iliya, S. (2015). An optimized hybrid dynamic Bayesian network approach using differential evolution algorithm for the diagnosis of Hepatocellular Carcinoma. In C. K. Ayo, S. Misra, N. Omoregbe, A. Adewumi, & B. Odusote (Eds.), ICAST 2014 - 2014 IEEE 6th International Conference on Adaptive Science and Technology, Proceedings Article 7068140 (IEEE International Conference on Adaptive Science and Technology, ICAST; Vol. 2015-January). IEEE Computer Society. https://doi.org/10.1109/ICASTECH.2014.7068140

Akutekwe, Arinze ; Seker, Huseyin ; Iliya, Sunday. / An optimized hybrid dynamic Bayesian network approach using differential evolution algorithm for the diagnosis of Hepatocellular Carcinoma. ICAST 2014 - 2014 IEEE 6th International Conference on Adaptive Science and Technology, Proceedings. editor / Charles K. Ayo ; Sanjay Misra ; Nicholas Omoregbe ; Adewole Adewumi ; Babafemi Odusote. IEEE Computer Society, 2015. (IEEE International Conference on Adaptive Science and Technology, ICAST).

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title = "An optimized hybrid dynamic Bayesian network approach using differential evolution algorithm for the diagnosis of Hepatocellular Carcinoma",

keywords = "Differenctial Evolution, Dynamic Bayesian Network, Gene Expression, Hepatocellular Carcinoma, Support Vector Machine",

author = "Arinze Akutekwe and Huseyin Seker and Sunday Iliya",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 6th IEEE International Conference on Adaptive Science and Technology, ICAST 2014 ; Conference date: 29-10-2014 Through 31-10-2014",

year = "2015",

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doi = "10.1109/ICASTECH.2014.7068140",

language = "English",

series = "IEEE International Conference on Adaptive Science and Technology, ICAST",

publisher = "IEEE Computer Society",

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booktitle = "ICAST 2014 - 2014 IEEE 6th International Conference on Adaptive Science and Technology, Proceedings",

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Akutekwe, A, Seker, H & Iliya, S 2015, An optimized hybrid dynamic Bayesian network approach using differential evolution algorithm for the diagnosis of Hepatocellular Carcinoma. in CK Ayo, S Misra, N Omoregbe, A Adewumi & B Odusote (eds), ICAST 2014 - 2014 IEEE 6th International Conference on Adaptive Science and Technology, Proceedings., 7068140, IEEE International Conference on Adaptive Science and Technology, ICAST, vol. 2015-January, IEEE Computer Society, 2014 6th IEEE International Conference on Adaptive Science and Technology, ICAST 2014, Ota, Nigeria, 29/10/14. https://doi.org/10.1109/ICASTECH.2014.7068140

An optimized hybrid dynamic Bayesian network approach using differential evolution algorithm for the diagnosis of Hepatocellular Carcinoma. / Akutekwe, Arinze; Seker, Huseyin; Iliya, Sunday.
ICAST 2014 - 2014 IEEE 6th International Conference on Adaptive Science and Technology, Proceedings. ed. / Charles K. Ayo; Sanjay Misra; Nicholas Omoregbe; Adewole Adewumi; Babafemi Odusote. IEEE Computer Society, 2015. 7068140 (IEEE International Conference on Adaptive Science and Technology, ICAST; Vol. 2015-January).

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

TY - GEN

T1 - An optimized hybrid dynamic Bayesian network approach using differential evolution algorithm for the diagnosis of Hepatocellular Carcinoma

AU - Akutekwe, Arinze

AU - Seker, Huseyin

AU - Iliya, Sunday

PY - 2015/3/25

Y1 - 2015/3/25

KW - Differenctial Evolution

KW - Dynamic Bayesian Network

KW - Gene Expression

KW - Hepatocellular Carcinoma

KW - Support Vector Machine

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DO - 10.1109/ICASTECH.2014.7068140

M3 - Conference contribution

AN - SCOPUS:84940118159

T3 - IEEE International Conference on Adaptive Science and Technology, ICAST

BT - ICAST 2014 - 2014 IEEE 6th International Conference on Adaptive Science and Technology, Proceedings

A2 - Ayo, Charles K.

A2 - Misra, Sanjay

A2 - Omoregbe, Nicholas

A2 - Adewumi, Adewole

A2 - Odusote, Babafemi

PB - IEEE Computer Society

T2 - 2014 6th IEEE International Conference on Adaptive Science and Technology, ICAST 2014

Y2 - 29 October 2014 through 31 October 2014

ER -

Akutekwe A, Seker H, Iliya S. An optimized hybrid dynamic Bayesian network approach using differential evolution algorithm for the diagnosis of Hepatocellular Carcinoma. In Ayo CK, Misra S, Omoregbe N, Adewumi A, Odusote B, editors, ICAST 2014 - 2014 IEEE 6th International Conference on Adaptive Science and Technology, Proceedings. IEEE Computer Society. 2015. 7068140. (IEEE International Conference on Adaptive Science and Technology, ICAST). doi: 10.1109/ICASTECH.2014.7068140

An optimized hybrid dynamic Bayesian network approach using differential evolution algorithm for the diagnosis of Hepatocellular Carcinoma

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