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

Abstract Background Aplastic anemia (AA) and myelodysplastic neoplasms (MDS) have similar peripheral blood manifestations and are clinically characterized by reduced hematological triad. It is challenging to distinguish and diagnose these two diseases. Hence, utilizing machine learning methods, we e...

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Bibliographic Details
Published in:BMC Medical Informatics and Decision Making
Main Authors: Yuxiang Qi, Xu Liu, Zhishan Ding, Ying Yu, Zhenchao Zhuang
Format: Article
Language:English
Published: BMC 2024-12-01
Subjects:
Cell population data
Parameters
Aplastic anemia
Myelodysplastic neoplasms
Machine learning
Online Access:https://doi.org/10.1186/s12911-024-02781-z

Internet

https://doi.org/10.1186/s12911-024-02781-z

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