Development of Software and Hardware Complex for Primary Diagnosis of Gastroenterological Diseases on the Basis of Deep Machine Learning

Authors

  • Yakhshiboyev R. E. Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi, Tashkent, Uzbekistan

Keywords:

deep machine learning, algorithm, forecasting, gastroenterological diseases, hardware and software complex, SVM, ANN

Abstract

This article discusses the development of a software and hardware complex for primary diagnostics of gastroenterological diseases on the based of deep machine learning. The process of deep machine learning was carried out, the ANN and SVM algorithms were used. The results of deep machine learning were compared, two variants of data sets for training were collected. Based on deep machine learning, it is planned to further develop a software and hardware complex for the primary diagnosis of gastroenterological diseases.

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Published

2023-01-08

How to Cite

R. E., Y. . (2023). Development of Software and Hardware Complex for Primary Diagnosis of Gastroenterological Diseases on the Basis of Deep Machine Learning. Nexus: Journal of Advances Studies of Engineering Science, 2(1), 9–20. Retrieved from https://innosci.org/JISES/article/view/734

Issue

Vol. 2 No. 1 (2023): JANUARY

Section

Articles