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Predicting risk of acute appendicitis: A comparison of artificial neural network and logistic regression models

Shahmoradi, Leila, Safdari, Reza, Mirhosseini, Mir Mikail, Arji, Goli, Jannat, Behrooz and Abdar, Moloud 2018, Predicting risk of acute appendicitis: A comparison of artificial neural network and logistic regression models, Acta Medica Iranica, vol. 56, no. 12, pp. 784-795.

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Title Predicting risk of acute appendicitis: A comparison of artificial neural network and logistic regression models
Author(s) Shahmoradi, Leila
Safdari, Reza
Mirhosseini, Mir Mikail
Arji, Goli
Jannat, Behrooz
Abdar, MoloudORCID iD for Abdar, Moloud orcid.org/0000-0002-3059-6357
Journal name Acta Medica Iranica
Volume number 56
Issue number 12
Start page 784
End page 795
Total pages 12
Publisher Tehran University of Medical Sciences
Place of publication Tehran, Iran
Publication date 2018-12-24
ISSN 0044-6025
1735-9694
Keyword(s) Acute appendicitis
Neural network
Multi-layer perceptron
Radial-based function
Logistic
Language eng
Indigenous content off
Field of Research 11 Medical and Health Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30134225

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.