Predicting Kidney Transplantation Outcomes Using Machine Learning Techniques

• Główni autorzy: fariba Moalem Borazjani (Autor), Azita Yazdani (Autor), Reza Safdari (Autor), Seyed Mansoor Gatmiri (Autor)
• Format: Książka
• Wydane: Tehran University of Medical Sciences, 2024-02-01T00:00:00Z.
• Hasła przedmiotowe: article
• Dostęp online: Connect to this object online.

Background and Aim: Kidney failure is a common and increasing problem in Iran and worldwide. Kidney transplantation is recognized as a preferred treatment method for patients with end-stage renal disease (ESRD). Machine learning, as one of the most valuable branches of artificial intelligence in the...