A potential predictive model based on machine learning and CPD parameters in elderly patients with aplastic anemia and myelodysplastic neoplasms

We developed a novel model that effectively distinguished elderly patients with AA and MDS, which had the potential to provide physicians assistance in early diagnosis and the proper treatment for the elderly.

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Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2024-12-18
DOI
https://doi.org/10.1186/s12911-024-02781-z
Citations
4
Primary Topic
Acute Myeloid Leukemia Research
Type
article
Field-Weighted Citation Impact
1.82
Controls
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article

A potential predictive model based on machine learning and CPD parameters in elderly patients with aplastic anemia and myelodysplastic neoplasms

Zhenchao Zhuang, Zhishan Ding, Ying Yu, Xu Liu et al.
4 citations
BMC Medical Informatics and Decision Making
Acute Myeloid Leukemia Research
1.82
article

A potential predictive model based on machine learning and CPD parameters in elderly patients with aplastic anemia and myelodysplastic neoplasms

Zhenchao Zhuang, Zhishan Ding, Ying Yu, Xu Liu, Yuxiang Qi
article en
4 citations

Abstract

We developed a novel model that effectively distinguished elderly patients with AA and MDS, which had the potential to provide physicians assistance in early diagnosis and the proper treatment for the elderly.

BMC Medical Informatics and Decision MakingVol. 24(1)
Zhejiang Chinese Medical University (CN), Communication University of Zhejiang (CN)
Reduced inequalities
Openalex Percentile: Top 13%
Acute Myeloid Leukemia Research
1.82
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