Diabetes Overview Based on Artificial Intelligence
| dc.contributor.author | Sevara Sultanovna Nabiyeva | |
| dc.contributor.author | Uroqov Shavkat | |
| dc.contributor.author | Adirov Tolliboy Xasanovich | |
| dc.date.accessioned | 2026-01-02T11:31:58Z | |
| dc.date.issued | 2021-10-25 | |
| dc.description.abstract | The review presents the possibilities of using artificial intelligence to study the mechanisms of development of diabetes mellitus (DM) and create new technologies for its prevention, diabetes symptoms, monitoring and treatment. | |
| dc.format | application/pdf | |
| dc.identifier.uri | https://geniusjournals.org/index.php/emrp/article/view/59 | |
| dc.identifier.uri | https://asianeducationindex.com/handle/123456789/77134 | |
| dc.language.iso | eng | |
| dc.publisher | Genius Journals | |
| dc.relation | https://geniusjournals.org/index.php/emrp/article/view/59/44 | |
| dc.source | Eurasian Medical Research Periodical; Vol. 1 No. 1 (2021): EMRP; 16-19 | |
| dc.source | 2795-7624 | |
| dc.subject | Diabetes mellitus | |
| dc.subject | symptoms | |
| dc.subject | artificial intelligence | |
| dc.subject | data mining | |
| dc.title | Diabetes Overview Based on Artificial Intelligence | |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
| dc.type | Peer-reviewed Article |
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