Development and evaluation of a clinical decision support system for early diagnosis of acute appendicitis
Abstract The most frequent reason for individuals experiencing abdominal discomfort to be referred to emergency departments of hospitals is acute appendicitis, and the most frequent emergency surgery performed is an appendectomy. The purpose of this study was to design and develop an intelligent cli...
Main Authors: | Leila Shahmoradi, Reza Safdari, Mir Mikail Mirhosseini, Sorayya Rezayi, Mojtaba Javaherzadeh |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-11-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-46721-9 |
Similar Items
-
Predicting Risk of Acute Appendicitis: A Comparison of Artificial Neural Network and Logistic Regression Models
by: Leila Shahmoradi, et al.
Published: (2019-01-01) -
Features and effects of computer-based games on cognitive impairments in children with autism spectrum disorder: an evidence-based systematic literature review
by: Sorayya Rezayi, et al.
Published: (2023-01-01) -
Accuracy of ultrasonography in diagnosis of acute appendicitis
by: Mohammad Reza Motie (MD), et al.
Published: (2010-01-01) -
Development and evaluation of a self-care application based on herbal medicine for skin and hair diseases
by: Leila Shahmoradi, et al.
Published: (2023-01-01) -
Vulnerability of Parkinson’s Patients to COVID-19 and Its Consequences and Effects on Them: A Systematic Review
by: Sorayya Rezayi, et al.
Published: (2023-01-01)