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pISSN: 0044-6025
eISSN: 1735-9694
Editor-in-Chief:
A. R. Dehpour, PharmD, PhD
Chairman:
A. Javadian, MD
Arji, Goli, Health Information Management Department, School of Allied-Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran., Iran, Islamic Republic of
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Acta Medica Iranica Vol 56, No 12 (2018) - Articles
Predicting Risk of Acute Appendicitis: A Comparison of Artificial Neural Network and Logistic Regression Models
Abstract
