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Please use this identifier to cite or link to this item: http://repository.tma.uz/xmlui/handle/1/5764
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dc.contributor.authorYaxshiboyev, Rustam-
dc.contributor.authorMo'minov, Bahodir-
dc.contributor.authorErmetov, Erkinbay-
dc.contributor.authorJo'rayev, Abdunazar-
dc.date.accessioned2023-01-13T08:42:29Z-
dc.date.available2023-01-13T08:42:29Z-
dc.date.issued2022-12-30-
dc.identifier.issn2181-1326-
dc.identifier.urihttp://repository.tma.uz/xmlui/handle/1/5764-
dc.description.abstractThis 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.publisherCentral Asian Journal of Medicineen_US
dc.subjectdeep machine learning, algorithm, forecasting, gastroenterological diseases, hardware and software complex, SVM, ANN.en_US
dc.titleANALYSIS OF THE PROCESS OF DEEP MACHINE LEARNING BASED ON THE RESULTS OBTAINED FOR PRIMARY DIAGNOSTICS OF GASTROENTEROLOGICAL DISEASESen_US
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