Cascade-Based Input-Doubling Classifier for Predicting Survival in Allogeneic Bone Marrow Transplants: Small Data Case

In the field of transplantology, where medical decisions are heavily dependent on complex data analysis, the challenge of small data has become increasingly prominent. Transplantology, which focuses on the transplantation of organs and tissues, requires exceptional accuracy and precision in predicti...

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Auteurs principaux:	Ivan Izonin, Roman Tkachenko, Nazarii Hovdysh, Oleh Berezsky, Kyrylo Yemets, Ivan Tsmots
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2025-03-01
Collection:	Computation
Sujets:	small data approach input-doubling method classification task imbalanced dataset transplantation medicine machine learning
Accès en ligne:	https://www.mdpi.com/2079-3197/13/4/80
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