XGBoost Model Using Diagnostic CBC to Predict Early Mortality in Newly Diagnosed Acute Myeloid Leukemia in a Resource-Limited Setting
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资源简介：
This repository contains the dataset and source code for an XGBoost-based machine learning model developed to predict early mortality in patients newly diagnosed with Acute Myeloid Leukemia (AML) using complete blood (CBC) parameters at diagnosis.
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Zenodo创建时间：
2025-07-21
