Çelik, S. Et Al. 2019. Application of machine learning techniques to analyze anastomosis integrity after Total gastrectomy for prediction of clinical leakage. HEALTH AND TECHNOLOGY , vol.9, no.5 , 757-763.

Çelik, S., Sohail, A., Ashraf, S., & Arshad, A., (2019). Application of machine learning techniques to analyze anastomosis integrity after Total gastrectomy for prediction of clinical leakage. HEALTH AND TECHNOLOGY , vol.9, no.5, 757-763.

Çelik, Sebahattin Et Al. "Application of machine learning techniques to analyze anastomosis integrity after Total gastrectomy for prediction of clinical leakage," HEALTH AND TECHNOLOGY , vol.9, no.5, 757-763, 2019

Çelik, Sebahattin Et Al. "Application of machine learning techniques to analyze anastomosis integrity after Total gastrectomy for prediction of clinical leakage." HEALTH AND TECHNOLOGY , vol.9, no.5, pp.757-763, 2019

Çelik, S. Et Al. (2019) . "Application of machine learning techniques to analyze anastomosis integrity after Total gastrectomy for prediction of clinical leakage." HEALTH AND TECHNOLOGY , vol.9, no.5, pp.757-763.

@article{article, author={Sebahattin Çelik Et Al. }, title={Application of machine learning techniques to analyze anastomosis integrity after Total gastrectomy for prediction of clinical leakage}, journal={HEALTH AND TECHNOLOGY}, year=2019, pages={757-763} }