DIAGNOSIS OF ACUTE APPENDICITIS IN CHILDREN USING ARTIFICIAL NEURAL NETWORK

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SAEEDI SOLAYMAN; LANGARIZADEH MOSTAFA

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Journal: Razi Journal of Medical Sciences Year:2016 | Volume:23 | Issue:148 Page(s): 115-127

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Title

DIAGNOSIS OF ACUTE APPENDICITIS IN CHILDREN USING ARTIFICIAL NEURAL NETWORK

Author(s)

SAEEDI SOLAYMAN | LANGARIZADEH MOSTAFA | Issue Writer Certificate

Keywords

ACUTE APPENDICITISQ3

CHILDQ2

DIAGNOSISQ3

ARTIFICIAL NEURAL NETWORKQ2

SENSITIVITYQ3

SPECIFICITYQ3

Abstract

Background: ACUTE APPENDICITIS is one of the most common causes of emergency surgery especially in CHILDren. Proper and on-time DIAGNOSIS may decrease the unwanted complications. Despite of advances in diagnostic methods, there are a significant number of patients with negative laparotomies. The aim of this study was to assess the role of ARTIFICIAL NEURAL NETWORKs in DIAGNOSIS of ACUTE APPENDICITIS in CHILDren with acute abdomen.Methods: Data from 206 patients presenting with acute abdomen referred to Ali Asghar Pediatric Hospital in Tehran during April 2005 to March 2015 were used in this research. Levenberg-Marquardt and Scaled Conjugate Gradient were used for the feed-forward back propagation neural network.Results: Results showed that the feed-forward back propagation algorithm with topology of 12-10-2, Levenberg-Marquardt training algorithm and similar functions for the entire layer (Hyperbolic tangent sigmoid) was the best order to DIAGNOSIS ACUTE APPENDICITIS in CHILDren. The SENSITIVITY, SPECIFICITY, and accuracy of the ARTIFICIAL NEURAL NETWORK were 100%, 100%, and 100% respectively. These results indicated a high potential of neural network as strong tool in DIAGNOSIS ACUTE APPENDICITIS in CHILDren.Conclusion: we have used a neural network method targeted at aiding medical specialist in their DIAGNOSIS of ACUTE APPENDICITIS disease. ARTIFICIAL NEURAL NETWORKs could be an effective tool for accurately diagnosing ACUTE APPENDICITIS. Such systems may reduce unnecessary appendectomies, diagnostic costs and time.

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APA: Copy

SAEEDI, SOLAYMAN, & LANGARIZADEH, MOSTAFA. (2016). DIAGNOSIS OF ACUTE APPENDICITIS IN CHILDREN USING ARTIFICIAL NEURAL NETWORK. RAZI JOURNAL OF MEDICAL SCIENCES (JOURNAL OF IRAN UNIVERSITY OF MEDICAL SCIENCES), 23(148), 115-127. SID. https://sid.ir/paper/10204/en

Vancouver: Copy

SAEEDI SOLAYMAN, LANGARIZADEH MOSTAFA. DIAGNOSIS OF ACUTE APPENDICITIS IN CHILDREN USING ARTIFICIAL NEURAL NETWORK. RAZI JOURNAL OF MEDICAL SCIENCES (JOURNAL OF IRAN UNIVERSITY OF MEDICAL SCIENCES)[Internet]. 2016;23(148):115-127. Available from: https://sid.ir/paper/10204/en

IEEE: Copy

SOLAYMAN SAEEDI, and MOSTAFA LANGARIZADEH, “DIAGNOSIS OF ACUTE APPENDICITIS IN CHILDREN USING ARTIFICIAL NEURAL NETWORK,” RAZI JOURNAL OF MEDICAL SCIENCES (JOURNAL OF IRAN UNIVERSITY OF MEDICAL SCIENCES), vol. 23, no. 148, pp. 115–127, 2016, [Online]. Available: https://sid.ir/paper/10204/en

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