Search results for "Acute abdominal pain"
showing 3 items of 3 documents
Are we overusing abdominal computed tomography scans in young patients referred in an emergency for acute abdominal pain?
2022
Purpose: The primary objective was to assess the frequency of appropriateness of computed tomography (CT) for acute abdominal pain (AAP) in the emergency department; the secondary aim was to compare the diagnostic accuracy of ultrasound (US) and CT in the diagnosis of the aetiology of AAP for diseases that can be diagnosed by US; and the third objective was to assess extent to which inappropriate CT examinations for AAP result in ionizing radiation exposure. Material and methods: In this retrospective single-centre study, we included patients aged between 15 and 46 years referred to the emergency department for AAP in 2016 and submitted to abdominal CT scans, collecting a total of 586 patie…
Computed tomography of bowel obstruction: Tricks of the trade
2015
Bowel obstruction (BO) is a frequent cause of hospitalization and surgical consultation for acute abdominal pain. It is usually suspected at physical examination, but clinical and laboratory data are often nonspecific. Thus, computed tomography plays a crucial role in a correct diagnosis of BO. Indeed, computed tomography can confirm a diagnosis of BO, and identify the location and cause of the obstruction. In this review, the computed tomography appearances of common and uncommon causes of BO and pseudo-obstruction are reviewed.
Search strategies for ensemble feature selection in medical diagnostics
2003
The goal of this paper is to propose, evaluate, and compare four search strategies for ensemble feature selection, and to consider their application to medical diagnostics, with a focus on the problem of the classification of acute abdominal pain. Ensembles of learnt models constitute one of the main current directions in machine learning and data mining. Ensembles allow us to get higher accuracy, sensitivity, and specificity, which are often not achievable with single models. One technique, which proved to be effective for ensemble construction, is feature selection. Lately, several strategies for ensemble feature selection were proposed, including random subspacing, hill-climbing-based se…