Predictive Power of Machine Learning Models for Relapse Outcomes in Acute Myeloid Leukemia: Unveiling Key Genes and Pathways for Improved Patient Management
M. Radak, H. Fallahi, K. Karami
This study uses machine learning to predict AML relapse by identifying key genes and pathways, with Decision Tree models showing the highest accuracy.
bioRxiv · Dec 5, 2023 · PreprintCancer Biology