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

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...

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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
deep learning
liver
machine learning
transplantation
Online Access:https://www.mdpi.com/2076-3417/15/3/1248
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