A novel perspective on survival prediction for AML patients: Integration of machine learning in SEER database applications

A novel perspective on survival prediction for AML patients: Integration of machine learning in SEER database applications

Objective: The purpose of this study is to explore the epidemiological characteristics of acute myeloid leukemia (AML) and establish a more accurate model for predicting the prognosis of AML patients based on machine learning. Methods: We obtained clinical data of a total of 87,090 AML patients betw...

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Bibliographic Details
Main Authors: Zheng-yi Jia, Maierbiya Abulimiti, Yun Wu, Li-na Ma, Xiao-yu Li, Jie Wang
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Heliyon
Subjects:
Acute myeloid leukemia
Machine learning
SEER database
Epidemiological characteristics
Prognosis prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844025004104
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