Comparison of the Levels of Accuracy of an Artificial Neural Network Model and a Logistic Regression Model for the Diagnosis of Acute Appendicitis
- 117 Downloads
An accurate diagnosis of acute appendicitis in the early stage is often difficult, and decision support tools to improve such a diagnosis might be required. This study compared the levels of accuracy of artificial neural network models and logistic regression models for the diagnosis of acute appendicitis. Data from 169 patients presenting with acute abdomen were used for the analyses. Nine variables were used for the evaluation of the accuracy of the two models. The constructed models were validated by the “.632+ bootstrap method”. The levels of accuracy of the two models for diagnosis were compared by error rate and areas under receiver operating characteristic curves. The artificial neural network models provided more accurate results than did the logistic regression models for both indices, especially when categorical variables or normalized variables were used. The most accurate diagnosis was obtained by the artificial neural network model using normalized variables.
KeywordsAcute appendicitis Artificial neural network Logistic regression Bootstrap
We thank Ms. Akane Inaizumi, Ms. Atsuko Sugiyama and Mr. Toshikazu Abe for valuable assistance in the acquisition of the data and references. We also thank Dr. Ralph Grams for his kind suggestions.
- 3.Arnbjornsson, E., Scoring system for computer-aided diagnosis of acute appendicitis. The value of prospective versus retrospective studies. Ann. Chir. Gynaecol. 74:159–166, 1985.Google Scholar
- 4.Eskelinen, M., Ikonen, J., and Lipponen, P., A computer-based diagnostic score to aid in diagnosis of acute appendicitis. A prospective study of 1333 patients with acute abdominal pain. Theor. Surg. 7:86–90, 1992.Google Scholar
- 14.Sivit, C. J., Siegel, M. J., Applegate, K. E., and Newman, K. D., When appendicitis is suspected in children. Radiographics 21:247–262, 2001.Google Scholar
- 16.Hanley, J. A., and McNeil, B. J., The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 143:29–36, 1982.Google Scholar
- 17.Zweig, M. H., and Campbell, G., Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clin. Chem. 39(4):561–577, 1993.Google Scholar
- 19.Marchand, A., Van Lente, F., and Galen, R. S. The assessment of laboratory tests in the diagnosis of acute appendicitis. Am. J. Clin. Pathol. 80:369–374, 1983.Google Scholar
- 20.Gronroos, J. M., Forsstrom, J. J., Irjala, K., and Nevalainen, T. J., Phospholipase A2, C-reactive protein, and white blood cell count in the diagnosis of acute appendicitis. Clin. Chem. 40:1757–1760, 1994.Google Scholar