THE APPLICATION OF THE NEW INTELLIGENT ADAPTIVE NERO FUZZY INFERENCE SYSTEM (ANFIS) IN PREDICTION OF HUMAN PAPILLOMA VIRUS ONCOGENICITY POTENCY

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

KENAR KOUHI A.; SOLEYMANJAHI H.; FALAHI SHAHAB; RIAHI MODVAR H.; MESHKAT Z.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: ARAK MEDICAL UNIVERSITY JOURNAL (AMUJ) Year:2011 | Volume:13 | Issue:4 (53) Page(s): 95-105

Download Full-Text

Persian Verion

View:

1,940

Download:

Cites:

Information Journal Paper

Title

THE APPLICATION OF THE NEW INTELLIGENT ADAPTIVE NERO FUZZY INFERENCE SYSTEM (ANFIS) IN PREDICTION OF HUMAN PAPILLOMA VIRUS ONCOGENICITY POTENCY

Author(s)

Keywords

ANFISQ3

ONCOGENICITYQ3

PAPILLOMA VIRUSQ3

PREDICTIONQ3

Abstract

Background: Based on the severity and prognostic condition of respective cancers caused by them, PAPILLOMA VIRUSes are classified into high, medium, and low risk groups using E6 and E7 viral proteins. Nowadays, different methods of modeling in clinical medicine are used for diagnosis of diseases and evaluation of their molecular characteristics. Among the new methods of modeling, fuzzy systems are of particular importance in various fields of science. The aim of this study was to use a new intelligent Adaptive Nero Fuzzy Inference System (ANFIS) for predicting human PAPILLOMA VIRUS ONCOGENICITY based on a number of biochemical properties of E7 protein.Materials and Methods: In this study, using ANFIS model, a new model was developed for predicting ONCOGENICITY of PAPILLOMA VIRUS isolated from patients. The process of training and testing was performed using a set of available published filed data and several statistical and graphical criteria. Accordingly, through provision of needed biochemical and biophysical data on E7 gens from the existing data, this model was developed. The results of this model were, then, validated by the authentic published data.Results: Based on the results, the developed model is capable of predicting PAPILLOMA VIRUS ONCOGENICITY efficiently. R2 and RMSE values in training stage were 0.99 and 101.18, respectively. In the testing stage, however, they stood at 0.94 and 173.8, respectively.Conclusion: Based on the findings, the use of ANFIS model significantly improves the accuracy of estimating virus ONCOGENICITY phenomenon. The methodology presented in this study is a new approach in estimating viral ONCOGENICITY and can successfully be combined with other mathematical models for model updating in real conditions.

Cites

No record.

References

No record.

Cite

APA: Copy

KENAR KOUHI, A., SOLEYMANJAHI, H., FALAHI, SHAHAB, RIAHI MODVAR, H., & MESHKAT, Z.. (2011). THE APPLICATION OF THE NEW INTELLIGENT ADAPTIVE NERO FUZZY INFERENCE SYSTEM (ANFIS) IN PREDICTION OF HUMAN PAPILLOMA VIRUS ONCOGENICITY POTENCY. ARAK MEDICAL UNIVERSITY JOURNAL (AMUJ), 13(4 (53)), 95-105. SID. https://sid.ir/paper/69217/en

Vancouver: Copy

KENAR KOUHI A., SOLEYMANJAHI H., FALAHI SHAHAB, RIAHI MODVAR H., MESHKAT Z.. THE APPLICATION OF THE NEW INTELLIGENT ADAPTIVE NERO FUZZY INFERENCE SYSTEM (ANFIS) IN PREDICTION OF HUMAN PAPILLOMA VIRUS ONCOGENICITY POTENCY. ARAK MEDICAL UNIVERSITY JOURNAL (AMUJ)[Internet]. 2011;13(4 (53)):95-105. Available from: https://sid.ir/paper/69217/en

IEEE: Copy

A. KENAR KOUHI, H. SOLEYMANJAHI, SHAHAB FALAHI, H. RIAHI MODVAR, and Z. MESHKAT, “THE APPLICATION OF THE NEW INTELLIGENT ADAPTIVE NERO FUZZY INFERENCE SYSTEM (ANFIS) IN PREDICTION OF HUMAN PAPILLOMA VIRUS ONCOGENICITY POTENCY,” ARAK MEDICAL UNIVERSITY JOURNAL (AMUJ), vol. 13, no. 4 (53), pp. 95–105, 2011, [Online]. Available: https://sid.ir/paper/69217/en

Related Journal Papers