Colon Cancer Prediction based on Artificial Neural Network

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1. Md. Asaduzzaman Sabuj
1. Md. Asaduzzaman Sabuj
2
Priyam Biswas
Priyam Biswas
1 Chittagong University of Engineering and Technology

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GJCST Volume 13 Issue G3

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Artificial neural networks (ANNs) consists of computational neurons or processing elements are linear mathematical model which abstract away the complex biological model and its aim is good, human like predictive ability. Artificial intelligence tries to simulate some properties of biological neural networks. In this study on the basis of previous dataset the in symptoms data are applied to a supervised back propagation artificial neural network learning process to find out the predictive outcome which is better than logistic regression (LR) process. As in most cases ANN is an adaptive system that changes its structure on the basis of internal and external information, the predictive result is more accurate than any other processes.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

1. Md. Asaduzzaman Sabuj. 2013. \u201cColon Cancer Prediction based on Artificial Neural Network\u201d. Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 13 (GJCST Volume 13 Issue G3): .

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GJCST Volume 13 Issue G3
Pg. 23- 27
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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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v1.2

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September 28, 2013

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English

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Artificial neural networks (ANNs) consists of computational neurons or processing elements are linear mathematical model which abstract away the complex biological model and its aim is good, human like predictive ability. Artificial intelligence tries to simulate some properties of biological neural networks. In this study on the basis of previous dataset the in symptoms data are applied to a supervised back propagation artificial neural network learning process to find out the predictive outcome which is better than logistic regression (LR) process. As in most cases ANN is an adaptive system that changes its structure on the basis of internal and external information, the predictive result is more accurate than any other processes.

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Colon Cancer Prediction based on Artificial Neural Network

1. Md. Asaduzzaman Sabuj
1. Md. Asaduzzaman Sabuj Chittagong University of Engineering and Technology
Priyam Biswas
Priyam Biswas

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