Survival prediction of anaplastic large cell lymphoma-anaplastic lymphoma kinase positive: Based on an ensemble machine learning model

This study is the first to construct a survival prediction model for ALCL-ALK positive using a multi-algorithm ensemble strategy. The model offers a practical tool for individualized risk assessment and may aid in optimizing clinical decision-making.

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Publication Details

Journal
Digital Health
Published
2025-05-01
DOI
https://doi.org/10.1177/20552076251396977
Citations
1
Primary Topic
Lymphoma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.47
Controls
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article

Survival prediction of anaplastic large cell lymphoma-anaplastic lymphoma kinase positive: Based on an ensemble machine learning model

Ruilan Zhong, Changjiu Liang, Limei Li
1 citations
Digital Health
Lymphoma Diagnosis and Treatment
1.47
article

Survival prediction of anaplastic large cell lymphoma-anaplastic lymphoma kinase positive: Based on an ensemble machine learning model

Ruilan Zhong, Changjiu Liang, Limei Li
article en
1 citations

Abstract

This study is the first to construct a survival prediction model for ALCL-ALK positive using a multi-algorithm ensemble strategy. The model offers a practical tool for individualized risk assessment and may aid in optimizing clinical decision-making.

Digital HealthVol. 11
Hainan Medical University (CN)
Openalex Percentile: Top 14%
Lymphoma Diagnosis and Treatment
1.47
DOIOpen Access PDFOpenAlex
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Survival prediction of anaplastic large cell lymphoma-anaplastic lymphoma kinase positive: Based on an ensemble machine learning model — Ruilan Zhong, Changjiu Liang, et al. · Digital Health (2025) | TGRS Research Map | TGRS