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BioEndoCar [Elektronski vir] : identifying candidate biomarkers for diagnosis and prognosis of endometrial carcinoma using machine learning and artificial intelligenceKokol, Marko, 1985- ...Source: International journal of gynecological cancer [Elektronski vir]. - ISSN 1525-1438 (Vol. 33, suppl. 3, 2023, str. A368 = International journal of gynecological cancer. Supplement. - ISSN 1065-9544. - str. A368)Type of material - conference contribution ; adult, seriousPublish date - 2023Language - englishCOBISS.SI-ID - 168282115
Author
Kokol, Marko, 1985- |
Romano, Andrea, medicina |
Werner, Erica |
Smrkolj, Špela, 1971- |
Roškar, Luka |
Pirš, Boštjan |
Takač, Iztok |
Sobočan, Monika |
Knez, Jure, dr. med., 1982- |
Lanišnik-Rižner, Tea
Topics
endometrial carcinoma |
biomarkers |
diagnosis |
prognosis |
machine learning |
artificial intelligence |
karcinom edometrija |
biološki označevalci |
diagnoza |
prognoza |
strojno učenje |
umetna inteligenca
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Kokol, Marko, 1985- | 39447 |
Romano, Andrea, medicina | |
Werner, Erica | |
Smrkolj, Špela, 1971- | 21362 |
Roškar, Luka | 52304 |
Pirš, Boštjan | 54587 |
Takač, Iztok | 01324 |
Sobočan, Monika | 50187 |
Knez, Jure, dr. med., 1982- | 33092 |
Lanišnik-Rižner, Tea | 11699 |
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