Abstract
Acute appendicitis is one of the most common emergency diseases in general surgery clinics. It is more common, especially between the ages of 10 and 30 years. Additionally, approximately 7% of the entire population is diagnosed with acute appendicitis at some time in their lives and requires surgery. The study aims to develop an easy, fast, and accurate estimation method for early acute appendicitis diagnosis using machine learning algorithms. Retrospective clinical records were analyzed with predictive data mining models. The predictive success of the models obtained by various machine learning algorithms was compared. A total of 595 clinical records were used in the study, including 348 males (58.49%) and 247 females (41.51%). It was found that the gradient boosted trees algorithm achieves the best success with an accurate prediction success of 95.31%. In this study, an estimation method based on machine learning was developed to identify individuals with acute appendicitis. It is thought that this method will benefit patients with signs of appendicitis, especially in emergency departments in hospitals.
Highlights
Acute appendicitis occurs in a wide range of patients of all ages
In order to make the diagnosis without any complications, studies were performed with accessible methods such as CRP (C-reactive protein), leukocyte count, neutrophil ratio, bilirubin, multislice computed tomography, and ultrasonography imaging techniques [16, 17]
An easy, fast, and accurate estimation method has been developed for the diagnosis of appendectomy which is the main problem of the article. us, accurate diagnosis can reduce hospital stay and cost
Summary
Acute appendicitis occurs in a wide range of patients of all ages. It is common especially in young adults between the ages of 10 and 30. Appendectomy for acute appendicitis is one of the most common emergency surgical procedures performed by general surgeons. Since delayed surgery can increase the rate of perforated appendicitis, appendectomy must be performed a few hours after diagnosis [4,5,6,7]. A definitive diagnosis is essential to prevent complications of appendicitis and to prevent negative appendectomy. In order to make the diagnosis without any complications, studies were performed with accessible methods such as CRP (C-reactive protein), leukocyte count, neutrophil ratio, bilirubin, multislice computed tomography, and ultrasonography imaging techniques [16, 17].
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