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1 Ergebnisse
1
Artificial intelligence technologies in predicting preeclam..:
A. Ivshin A
;
T. Bagaudin Z
;
A. Gusev V
...
https://www.gynecology.su/jour/article/view/1047/952. , 2021
Link:
https://www.gynecology.su/jour/article/view/1047
RT Journal T1
Artificial intelligence technologies in predicting preeclampsia ; Прогнозирование преэклампсии с использованием технологий искусственного интеллекта
UL https://suche.suub.uni-bremen.de/peid=base-ftjogr:oai:oai.akusherstvo.elpub.ru:article_1047&Exemplar=1&LAN=DE A1 A. Ivshin A A1 T. Bagaudin Z A1 A. Gusev V A1 А. Ившин А A1 Т. Багаудин З A1 А. Гусев В PB IRBIS LLC YR 2021 K1 artificial intelligence K1 Al K1 prediction;great obstetrical syndromes K1 preeclampsia K1 PE K1 machine learning K1 neural networks K1 algorithms K1 risk factors K1 искусственный интеллект K1 ИИ K1 прогнозирование K1 большие акушерские синдромы K1 преэклампсия K1 ПЭ K1 машинное обучение K1 нейронные сети K1 алгоритмы K1 факторы риска JF https://www.gynecology.su/jour/article/view/1047/952 LK http://dx.doi.org/https://www.gynecology.su/jour/article/view/1047 DO https://www.gynecology.su/jour/article/view/1047 SF ELIB - SuUB Bremen
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