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Title |
A Retrospective Analysis of Appendicitis Symptoms in Saudi Arabia |
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Author |
Sara Bosbait, Rana Alrayes, Majd Aldahoos, Fatemah Almareq, Mohammed Gollapalli, Atta Rahman, and Aghiad Bakry |
| Citation |
Vol. 25 No. 2 pp. 39-49 |
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Abstract |
The appendix is a hollow organ near the end of the cecum that is often found in the right bottom quadrant of the abdomen. The occlusion of the appendiceal orifice is the cause of appendicitis. The underlying etiology of the obstruction may vary depending on the age group. The illness often manifests acutely, within 24 hours of start, but it can potentially manifest chronic if your appendix ruptures, bacteria will infect the peritoneum, the lining of your abdomen. Additionally, it might harm your internal organs. In Saudi Arabia, within the previous five years, there has been a ten-fold increase in the number of cases with acute appendicitis. Acute appendicitis is broadly categorized as acute simple appendicitis (SA), acute purulent appendicitis (PA), acute gangrenous or perforated appendicitis (GPA), and peri-appendiceal abscess. However, there is a lack of studies focusing on accurate diagnosis and treatment of GPA in adult patients. Therefore, in this study aims to utilize Data Analysis (DA) is being used to track three types of acute appendicitis using a Saudi Arabian hospital dataset to manage their progression. Therefore, we applied descriptive analysis techniques using R language, to tackle this universal epidemic. Notably, the dataset is in the 8- 60-year age group, with varying genders and symptoms days. The data includes 412 instances, and 30 attributes labeled using PathologyD, which facilitates categorization of data using Pathology diagnosis. The findings are quite effective and useful for the subsequent studies in Appendicitis detection and classification using data analytical approaches. |
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Keywords |
Social media; mental health, wellbeing; R programming language, data mining, data wrangling |
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