Development of a Clinical Decision Support System Using Artificial Intelligence Methods for Liver Transplant Centers

The objective of this study is to utilize artificial intelligence techniques for the diagnosis of complications and diseases that may arise after liver transplantation, as well as for the identification of patients in need of transplantation. To achieve this, an interface was developed to collect pa...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Mete Yağanoğlu, Gürkan Öztürk, Ferhat Bozkurt, Zeynep Bilen, Zühal Yetiş Demir, Sinan Kul, Emrah Şimşek, Salih Kara, Hakan Eygu, Necip Altundaş, Nurhak Aksungur, Ercan Korkut, Mehmet Sinan Başar, Nurinnisa Öztürk
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2025-01-01
Σειρά:	Applied Sciences
Θέματα:	deep learning liver machine learning transplantation
Διαθέσιμο Online:	https://www.mdpi.com/2076-3417/15/3/1248
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