Predicting Risk of Acute Appendicitis: A Comparison of Artificial Neural Network and Logistic Regression Models
Acute appendicitis is considered as one of the most prevalent diseases needing urgent action. Diagnosis of appendicitis is often complicated, and more precision in diagnosis is essential. The aim of this paper was to construct a model to predict acute appendicitis based on pathology reports. The ana...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tehran University of Medical Sciences
2019-01-01
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| Series: | Acta Medica Iranica |
| Subjects: | |
| Online Access: | https://acta.tums.ac.ir/index.php/acta/article/view/7363 |