XGBoost Model Using Diagnostic CBC to Predict Early Mortality in Newly Diagnosed Acute Myeloid Leukemia in a Resource-Limited Setting

Name: XGBoost Model Using Diagnostic CBC to Predict Early Mortality in Newly Diagnosed Acute Myeloid Leukemia in a Resource-Limited Setting
Creator: Zenodo
Published: 2025-07-21T16:56:32+08:00

Zenodo2025-07-21 更新2026-05-26 收录

数据链接：

https://zenodo.org/doi/10.5281/zenodo.16113519 数据链接链接失效反馈

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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.

提供机构：

Zenodo

创建时间：

2025-07-21