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World Journal of Surgery
Published in: World Journal of Surgery 2/2008

01-02-2008 | Invited Commentary

Artificial Neural Networks: Useful Aid in Diagnosing Acute Appendicitis

Author: Roland E. Andersson

Published in: World Journal of Surgery | Issue 2/2008

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Excerpt

How to diagnose acute appendicitis is still a subject of controversy. The current trend is toward increasing use of diagnostic imaging and laparoscopy. However, these techniques are expensive, have limited availability, and suffer from limitations such as potentially harmful ionizing radiation (computed tomography), examiner dependent efficacy (ultrasonography), and technique-associated morbidity (diagnostic laparoscopy). …
Literature
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DeDombal FT (1975) Computer-aided diagnosis and decision-making in the acute abdomen. J R Coll Physicians Lond 9:211–218PubMed
2.
Prabhudesai SG, Gould S, Rekhraj S, et al. (2007) Artificial neural networks: useful aid in diagnosing acute appendicitis. World J Surg (this issue)
3.
Krone HA, Sperke E (1989) Die prophylaktische Appendektomie bei gynakologischen Eingriffen: Bericht uber 1718 Falle. [Preventive appendectomy in gynecologic surgery: report of 1,718 cases]. Geburtshilfe Frauenheilkd 49:1035–1038PubMedCrossRef
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Pesonen E (1997) Is neural network better than statistical methods in diagnosis of acute appendicitis? Stud Health Technol Inform 43(Pt A):377–381PubMed
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Denizbasi A, Unluer EE (2003) The role of the emergency medicine resident using the Alvarado score in the diagnosis of acute appendicitis compared with the general surgery resident. Eur J Emerg Med 10:296–301PubMedCrossRef
Metadata
Title
Artificial Neural Networks: Useful Aid in Diagnosing Acute Appendicitis
Author
Roland E. Andersson
Publication date
01-02-2008
Publisher
Springer-Verlag
Published in
World Journal of Surgery / Issue 2/2008
Print ISSN: 0364-2313
Electronic ISSN: 1432-2323
DOI
https://doi.org/10.1007/s00268-007-9299-5

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