Tsivanyuk MM, Shakhgeldyan KI, Markov MA, Shirobokov VG, & Geltser BI. (2025). Machine Learning Efficiency in Predicting Obstructive Coronary Artery Disease in Patients with Non-ST Elevation Acute Coronary Syndrome in the First Hours of Admission. Sovremennye Tekhnologii V Meditsine, 17(3), 50-50. https://doi.org/10.17691/stm2025.17.3.05

TSIVANYUK MM, SHAKHGELDYAN KI, MARKOV MA, SHIROBOKOV VG und GELTSER BI, 2025. Machine Learning Efficiency in Predicting Obstructive Coronary Artery Disease in Patients with Non-ST Elevation Acute Coronary Syndrome in the First Hours of Admission. Sovremennye tekhnologii v meditsine. 1 Januar 2025. Vol. 17, no. 3, p. 50-50. DOI 10.17691/stm2025.17.3.05.

Tsivanyuk MM, Shakhgeldyan KI, Markov MA, Shirobokov VG, und Geltser BI. „Machine Learning Efficiency in Predicting Obstructive Coronary Artery Disease in Patients With Non-ST Elevation Acute Coronary Syndrome in the First Hours of Admission.“. Sovremennye Tekhnologii V Meditsine, Bd. 17, Nr. 3, Januar 2025, S. 50-50, https://doi.org/10.17691/stm2025.17.3.05.

Tsivanyuk MM/Shakhgeldyan KI/Markov MA/Shirobokov VG/Geltser BI: Machine Learning Efficiency in Predicting Obstructive Coronary Artery Disease in Patients with Non-ST Elevation Acute Coronary Syndrome in the First Hours of Admission., Sovremennye tekhnologii v meditsine 2025, 50-50.

Tsivanyuk MM, Shakhgeldyan KI, Markov MA, Shirobokov VG und Geltser BI. (2025), „Machine Learning Efficiency in Predicting Obstructive Coronary Artery Disease in Patients with Non-ST Elevation Acute Coronary Syndrome in the First Hours of Admission.“, Sovremennye Tekhnologii V Meditsine, Vol. 17 No. 3, S. 50-50.