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...
Saved in:
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-01-01
|
Series: | Heliyon |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844025004104 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|