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

Yaxshiboyev, Rustam; Mo'minov, Bahodir; Ermetov, Erkinbay; Jo'rayev, Abdunazar

dc.contributor.author	Yaxshiboyev, Rustam
dc.contributor.author	Mo'minov, Bahodir
dc.contributor.author	Ermetov, Erkinbay
dc.contributor.author	Jo'rayev, Abdunazar
dc.date.accessioned	2023-01-13T08:42:29Z
dc.date.available	2023-01-13T08:42:29Z
dc.date.issued	2022-12-30
dc.identifier.issn	2181-1326
dc.identifier.uri	http://repository.tma.uz/xmlui/handle/1/5764
dc.description.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.	en_US
dc.publisher	Central Asian Journal of Medicine	en_US
dc.subject	deep machine learning, algorithm, forecasting, gastroenterological diseases, hardware and software complex, SVM, ANN.	en_US
dc.title	ANALYSIS OF THE PROCESS OF DEEP MACHINE LEARNING BASED ON THE RESULTS OBTAINED FOR PRIMARY DIAGNOSTICS OF GASTROENTEROLOGICAL DISEASES	en_US