DSpace JSPUI
DSpace preserves and enables easy and open access to all types of digital content including text, images, moving images, mpegs and data sets
Learn More
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 |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.