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Article

Survival prediction in acute myeloid leukemia using gene expression profiling.

BMC medical informatics and decision making - 3 Mar 2022

Lai Binbin, Lai Yanli, Zhang Yanli, Zhou Miao, OuYang Guifang

Abstract excerpt

BACKGROUND: Acute myeloid leukemia (AML) is a genetically heterogeneous blood disorder. AML patients are associated with a relatively poor overall survival. The objective of this study was to establish a machine learning model to accurately perform the prognosis prediction in AML patients. METHODS: We first screened for prognosis-related genes using Kaplan-Meier survival analysis in The Cancer Genome Atlas...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 35241089
DOI: 10.1186/s12911-022-01791-z
PMCID: PMC8892720

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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