Title: Use of a neuro-fuzzy technique to predict complete Rockall score in patients with upper gastrointestinal bleeding

Authors: Zhaleh Ghobadi; Somayeh Saraf Esmaili

Addresses: Department of Biomedical Engineering, Garmsar Branch, Islamic Azad University, Garmsar, Iran ' Department of Biomedical Engineering, Garmsar Branch, Islamic Azad University, Garmsar, Iran

Abstract: This study, using a neuro-fuzzy technique tried to provide an intelligence model for predicting the complete Rockall score of the patients with upper gastrointestinal bleeding. The data related to 350 patients with upper gastrointestinal bleeding who were hospitalised in the public hospital in Iran have been used. The 30% of the data were randomly selected and used as test data, and the others were also applied as training data. Clinical Rockall and Blatchford scores as inputs and complete Rockall score as the output were considered. To evaluate the model performance, conventional criteria were calculated. The accuracy of the model was compared with the accuracy of the artificial neural network tool. According to the results, proposed model has higher accuracy and efficiency than the artificial neural network and it seems to be used as a useful tool. Accuracy, cheap, high speed and being new are some benefits of the presented model.

Keywords: upper gastrointestinal bleeding; Rockall; Blatchford; artificial intelligence; neuro-fuzzy system; artificial neural network.

DOI: 10.1504/IJMEI.2024.141793

International Journal of Medical Engineering and Informatics, 2024 Vol.16 No.6, pp.503 - 515

Received: 27 Nov 2021
Accepted: 15 Jun 2022
Published online: 02 Oct 2024 *

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