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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Detalles Bibliográficos

Principais autores:	Ivan Izonin, Roman Tkachenko, Nazarii Hovdysh, Oleh Berezsky, Kyrylo Yemets, Ivan Tsmots
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2025-03-01
Series:	Computation
Assuntos:	small data approach input-doubling method classification task imbalanced dataset transplantation medicine machine learning
Acceso en liña:	https://www.mdpi.com/2079-3197/13/4/80
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