Use of machine learning models for identification of predictors of survival and tumour recurrence in liver transplant recipients with hepatocellular carcinoma
Bezjak, M., Kocman, B., Jadrijević, S., Kanižaj, T. F., Antonijević, M., Dalbelo Bašić, B. & Mikulić, D. (2023). Use of machine learning models for identification of predictors of survival and tumour recurrence in liver transplant recipients with hepatocellular carcinoma. Annals of Translational Medicine, 11. (10), 345. doi: 10.21037/atm-22-6469
Bezjak, Miran, et al. "Use of machine learning models for identification of predictors of survival and tumour recurrence in liver transplant recipients with hepatocellular carcinoma." Annals of Translational Medicine, vol. 11, no. 10, 2023, p. 345. https://doi.org/10.21037/atm-22-6469
Bezjak, Miran, Branislav Kocman, Stipislav Jadrijević, Tajana Filipec Kanižaj, Miro Antonijević, Bojana Dalbelo Bašić and Danko Mikulić. "Use of machine learning models for identification of predictors of survival and tumour recurrence in liver transplant recipients with hepatocellular carcinoma." Annals of Translational Medicine 11, no. 10 (2023): 345. https://doi.org/10.21037/atm-22-6469
Bezjak, M., et al. (2023) 'Use of machine learning models for identification of predictors of survival and tumour recurrence in liver transplant recipients with hepatocellular carcinoma', Annals of Translational Medicine, 11(10), p. 345. doi: 10.21037/atm-22-6469
Bezjak M, Kocman B, Jadrijević S, Kanižaj TF, Antonijević M, Dalbelo Bašić B, and sur.. Use of machine learning models for identification of predictors of survival and tumour recurrence in liver transplant recipients with hepatocellular carcinoma. Annals of Translational Medicine [Internet]. 2023 August 30 [cited 2024 December 09];11(10):345. doi: 10.21037/atm-22-6469
M. Bezjak, et al., "Use of machine learning models for identification of predictors of survival and tumour recurrence in liver transplant recipients with hepatocellular carcinoma", Annals of Translational Medicine, vol. 11, no. 10, p. 345, August 2023. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:264:662169. [Accessed: 09 December 2024]