ANALYSIS OF THE PROCESS OF DEEP MACHINE LEARNING BASED ON THE RESULTS OBTAINED FOR PRIMARY DIAGNOSTICS OF GASTROENTEROLOGICAL DISEASES

Please use this identifier to cite or link to this item: http://repository.tma.uz/xmlui/handle/1/5764

Title:	ANALYSIS OF THE PROCESS OF DEEP MACHINE LEARNING BASED ON THE RESULTS OBTAINED FOR PRIMARY DIAGNOSTICS OF GASTROENTEROLOGICAL DISEASES
Authors:	Yaxshiboyev, Rustam Mo'minov, Bahodir Ermetov, Erkinbay Jo'rayev, Abdunazar
Keywords:	deep machine learning, algorithm, forecasting, gastroenterological diseases, hardware and software complex, SVM, ANN.
Issue Date:	30-Dec-2022
Publisher:	Central Asian Journal of Medicine
Abstract:	This article discusses the analysis of the process of deep machine learning based on the results obtained for the primary diagnosis of gastroenterological diseases. 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.
URI:	http://repository.tma.uz/xmlui/handle/1/5764
ISSN:	2181-1326
Appears in Collections:	Thesis, Articles

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