Comparison of neuro-fuzzy based techniques in nasopharyngeal carcinoma recurrence prediction

Orrawan Kumdee; Hirosato Seki; Hiroaki Ishii; Thongchai Bhongmakapat; Panrasee Ritthipravat

doi:10.1109/FUZZY.2009.5277085

Comparison of neuro-fuzzy based techniques in nasopharyngeal carcinoma recurrence prediction

Orrawan Kumdee
, Hirosato Seki
, Hiroaki Ishii
, Thongchai Bhongmakapat
, Panrasee Ritthipravat

Mahidol University
Osaka University
Japan Society for the Promotion of Science

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

3 Citations (Scopus)

Abstract

This paper aims to compare neuro-fuzzy based techniques for effective prediction of nasopharyngeal carcinoma (NPC) recurrence. The techniques include an artificial neural network (ANN), adaptive neuro-fuzzy inference systems (ANFIS), the functional-type single input rule modules connected fuzzy inference method (F-SIRMs method) and the functional and neural network type SIRMs method (F-NN-SIRMs method). All models are produced to predict the presence or absence and timing of the NPC recurrence. Five years predictions are carried out. Validity of each predictive model is assured by 10-fold cross validation. The results show that the F-NN-SIRMs method is superior to the other techniques in a sense that it provides the higher prediction performance.

Original language	English
Title of host publication	2009 IEEE International Conference on Fuzzy Systems - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1199-1203
Number of pages	5
ISBN (Print)	9781424435975
DOIs	https://doi.org/10.1109/FUZZY.2009.5277085
Publication status	Published - 2009
Event	18th IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2009 - Jeju Island, Korea, Republic of Duration: 20 Aug 2009 → 24 Aug 2009

Publication series

Name	IEEE International Conference on Fuzzy Systems
ISSN (Print)	1098-7584

Conference

Conference	18th IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2009
Country/Territory	Korea, Republic of
City	Jeju Island
Period	20/08/09 → 24/08/09

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1109/FUZZY.2009.5277085

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Kumdee, O., Seki, H., Ishii, H., Bhongmakapat, T., & Ritthipravat, P. (2009). Comparison of neuro-fuzzy based techniques in nasopharyngeal carcinoma recurrence prediction. In 2009 IEEE International Conference on Fuzzy Systems - Proceedings (pp. 1199-1203). Article 5277085 (IEEE International Conference on Fuzzy Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FUZZY.2009.5277085

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title = "Comparison of neuro-fuzzy based techniques in nasopharyngeal carcinoma recurrence prediction",

abstract = "This paper aims to compare neuro-fuzzy based techniques for effective prediction of nasopharyngeal carcinoma (NPC) recurrence. The techniques include an artificial neural network (ANN), adaptive neuro-fuzzy inference systems (ANFIS), the functional-type single input rule modules connected fuzzy inference method (F-SIRMs method) and the functional and neural network type SIRMs method (F-NN-SIRMs method). All models are produced to predict the presence or absence and timing of the NPC recurrence. Five years predictions are carried out. Validity of each predictive model is assured by 10-fold cross validation. The results show that the F-NN-SIRMs method is superior to the other techniques in a sense that it provides the higher prediction performance.",

author = "Orrawan Kumdee and Hirosato Seki and Hiroaki Ishii and Thongchai Bhongmakapat and Panrasee Ritthipravat",

year = "2009",

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language = "English",

isbn = "9781424435975",

series = "IEEE International Conference on Fuzzy Systems",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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note = "18th IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2009 ; Conference date: 20-08-2009 Through 24-08-2009",

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Kumdee, O, Seki, H, Ishii, H, Bhongmakapat, T & Ritthipravat, P 2009, Comparison of neuro-fuzzy based techniques in nasopharyngeal carcinoma recurrence prediction. in 2009 IEEE International Conference on Fuzzy Systems - Proceedings., 5277085, IEEE International Conference on Fuzzy Systems, Institute of Electrical and Electronics Engineers Inc., pp. 1199-1203, 18th IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2009, Jeju Island, Korea, Republic of, 20/08/09. https://doi.org/10.1109/FUZZY.2009.5277085

Comparison of neuro-fuzzy based techniques in nasopharyngeal carcinoma recurrence prediction. / Kumdee, Orrawan; Seki, Hirosato; Ishii, Hiroaki et al.
2009 IEEE International Conference on Fuzzy Systems - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2009. p. 1199-1203 5277085 (IEEE International Conference on Fuzzy Systems).

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

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T1 - Comparison of neuro-fuzzy based techniques in nasopharyngeal carcinoma recurrence prediction

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AU - Ritthipravat, Panrasee

PY - 2009

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N2 - This paper aims to compare neuro-fuzzy based techniques for effective prediction of nasopharyngeal carcinoma (NPC) recurrence. The techniques include an artificial neural network (ANN), adaptive neuro-fuzzy inference systems (ANFIS), the functional-type single input rule modules connected fuzzy inference method (F-SIRMs method) and the functional and neural network type SIRMs method (F-NN-SIRMs method). All models are produced to predict the presence or absence and timing of the NPC recurrence. Five years predictions are carried out. Validity of each predictive model is assured by 10-fold cross validation. The results show that the F-NN-SIRMs method is superior to the other techniques in a sense that it provides the higher prediction performance.

AB - This paper aims to compare neuro-fuzzy based techniques for effective prediction of nasopharyngeal carcinoma (NPC) recurrence. The techniques include an artificial neural network (ANN), adaptive neuro-fuzzy inference systems (ANFIS), the functional-type single input rule modules connected fuzzy inference method (F-SIRMs method) and the functional and neural network type SIRMs method (F-NN-SIRMs method). All models are produced to predict the presence or absence and timing of the NPC recurrence. Five years predictions are carried out. Validity of each predictive model is assured by 10-fold cross validation. The results show that the F-NN-SIRMs method is superior to the other techniques in a sense that it provides the higher prediction performance.

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Kumdee O, Seki H, Ishii H, Bhongmakapat T , Ritthipravat P. Comparison of neuro-fuzzy based techniques in nasopharyngeal carcinoma recurrence prediction. In 2009 IEEE International Conference on Fuzzy Systems - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2009. p. 1199-1203. 5277085. (IEEE International Conference on Fuzzy Systems). doi: 10.1109/FUZZY.2009.5277085

Comparison of neuro-fuzzy based techniques in nasopharyngeal carcinoma recurrence prediction

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