Repository of Research and Investigative Information

Repository of Research and Investigative Information

Ilam University of Medical Sciences

Developing an Intelligent Tool for Breast Cancer Prognosis Using Artificial Neural Network

Mon Feb 26 08:23:04 2024

(2022) Developing an Intelligent Tool for Breast Cancer Prognosis Using Artificial Neural Network. Acta Medica Iranica. pp. 562-570. ISSN 00446025 (ISSN)

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

Today, there is ample scientific evidence that Breast Cancer (BC) is a global health challenge given its prevalence and invasive nature. Therefore, early detection of BC can help minimize the devastating effects of the disease. This study aimed to design a Clinical Decision Support System (CDSS) based on the best Artificial Neural Network (ANN) configuration to identify patients quickly. Using a single-center registry, we retrospectively reviewed the records of 3380 suspected BC cases. The independence test of Chi-Square at P<0.01 was utilized to select the most important criteria. Then the different ANN configuration was implemented in the Matlab R2013 environment and compared using some evaluation criteria. Finally, the best ANN configuration was obtained. After implementing feature selection, 20 variables were determined as the most relevant factors. The experimental results indicate that the best performance was obtained by the 20-25-1 configuration with PPV=90.9, NPV=99.7, Sensitivity=98.9, Specificity=97.9, Accuracy=98.1, and AUC=0.958. The proposed software can identify cases of BC from healthy individuals with optimal diagnostic accuracy. Additionally, it might be integrated as a practical and helpful tool in natural clinical settings for easy and effective disease screening. © 2022 Tehran University of Medical Sciences. All rights reserved.

Item Type: Article
Creators:
CreatorsEmail
Nopour, R.UNSPECIFIED
Shanbehzadeh, M.UNSPECIFIED
Mehrabi, N.UNSPECIFIED
Keywords: Artificial intelligence Artificial neural network Breast cancer Data mining Machine learning area under the curve Article body mass cancer prognosis clinical decision support system controlled study diabetes mellitus drinking behavior electronic medical record feedback system female human hypercholesterolemia hyperlipidemia hypertension intelligence major clinical study physical activity prevalence retrospective study sensitivity and specificity synapse thorax radiography walking
Divisions:
Page Range: pp. 562-570
Journal or Publication Title: Acta Medica Iranica
Journal Index: Scopus
Volume: 60
Number: 9
ISSN: 00446025 (ISSN)
Depositing User: مهندس مهدی شریفی
URI: http://eprints.medilam.ac.ir/id/eprint/4317

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