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

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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Bibliographic Details
Main Authors: Ivan Izonin, Roman Tkachenko, Nazarii Hovdysh, Oleh Berezsky, Kyrylo Yemets, Ivan Tsmots
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Computation
Subjects:
small data approach
input-doubling method
classification task
imbalanced dataset
transplantation medicine
machine learning
Online Access:https://www.mdpi.com/2079-3197/13/4/80
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