The use of the Neural Network in Predicting a Number of Diseases of the Gastrointestinal Tract caused by Parasites

The use of the Neural Network in Predicting a Number of Diseases of the Gastrointestinal Tract caused by Parasites

N. T. Abdullayev

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U. N. Musevi

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K. S. Pashayeva

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Baku State University

The use of the Neural Network in Predicting a Number of Diseases of the Gastrointestinal Tract caused by Parasites

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Abstract

Annotation-Disorders of the functional state of the gastrointestinal tract associated with the influence of various parasites are considered. The symptoms of diseases caused by parasites and their location in the gastrointestinal tract are given. The possibility of using neural network technology in diagnosing diseases as a result of the influence of various parasites is estimated. The structure of the neural network is given, indicating the set of inputs and outputs, as well as the result of training the network. For the created neural network, test results for the corresponding symptoms and disease prediction results for these symptoms were obtained.

References

8 Cites in Article

Reference Format

S Kozlov,V Turitsin,A Laskin (2011). Diagnostics of parasitoses.Modern myths.
Mariya Vyucheyskaya,Irina Kraynova,Anatoliy Gribanov (2018). Neural Network Technologies in Medical Diagnosis (Review).
I Churyumov Medical decision making system using a neural network.
P Maclin,J Dempsey (1992). Using an Artificial Neural Network to Diagnose Hepatic Masses.
S Kazmierczak,P Catrou,F Van Lente (1993). Diagnostic accuracy of pancreatic enzymes evaluated by use of multivariate data analysis.
P Mironov,I Lutfarakhmanov,I Kh Unknown Title.
V Ishmukhametov,Timerbulatov (2008). Artificial neural networks in predicting the development of sepsis in patients with severe acute pancreatitis.
S Khaikin,M (2006). Neural Networks: A Complete Course.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

N. T. Abdullayev. 2020. \u201cThe use of the Neural Network in Predicting a Number of Diseases of the Gastrointestinal Tract caused by Parasites\u201d. Global Journal of Science Frontier Research - I: Interdisciplinary GJSFR-I Volume 20 (GJSFR Volume 20 Issue I4).

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GJSFR Volume 20 Issue I4

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

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GJSFR-I Classification FOR Code: 170205

Submission ReceivedJuly 2, 2020
Peer Review Double Blind
Handling Editor
Accepted July 29, 2020
Published August 8, 2020

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v1.2

Issue date

September 24, 2020

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