Development of an interpretable ensemble learning model for thalassemia detection in pregnant women using routine hematological parameters

Thal-classifier is a practical and reliable tool for early detection of thalassemia in pregnant populations, offering valuable support for prenatal screening and individualized clinical decision-making.

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Publication Details

Journal
Digital Health
Published
2025-05-01
DOI
https://doi.org/10.1177/20552076251396982
Primary Topic
Hemoglobinopathies and Related Disorders
Type
article
Field-Weighted Citation Impact
0.00
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article

Development of an interpretable ensemble learning model for thalassemia detection in pregnant women using routine hematological parameters

Xianning Dai, Mengjie Xu, Kai Xu, Jianchao Ying et al.
Digital Health
Hemoglobinopathies and Related Disorders
article

Development of an interpretable ensemble learning model for thalassemia detection in pregnant women using routine hematological parameters

Xianning Dai, Mengjie Xu, Kai Xu, Jianchao Ying, Qian Wang
article en

Abstract

Thal-classifier is a practical and reliable tool for early detection of thalassemia in pregnant populations, offering valuable support for prenatal screening and individualized clinical decision-making.

Digital HealthVol. 11
Wenzhou Medical University (CN), First Affiliated Hospital of Wenzhou Medical University (CN), Ruian People's Hospital (CN), Wenzhou City People's Hospital (CN)
Openalex Percentile: Top 50%
Hemoglobinopathies and Related Disorders
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