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Open Access

Peer-reviewed

Research Article

Diabetes prediction model based on GA-XGBoost and stacking ensemble algorithm

Wenguang Li,

Roles Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation College of Computer Science and Engineering, Sichuan University of Science and Engineering, Yibin, China
⨯
Yan Peng ,

Roles Conceptualization, Methodology

* E-mail: 2677869352@qq.com

Affiliation College of Computer Science and Engineering, Sichuan University of Science and Engineering, Yibin, China

https://orcid.org/0009-0006-4045-0104

⨯
Ke Peng

Roles Formal analysis, Validation

Affiliation College of Computer Science and Engineering, Sichuan University of Science and Engineering, Yibin, China
⨯

Diabetes prediction model based on GA-XGBoost and stacking ensemble algorithm

Wenguang Li,
Yan Peng,
Ke Peng

x

Published: September 30, 2024
https://doi.org/10.1371/journal.pone.0311222

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Diabetes mellitus
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Machine learning algorithms
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Genetic algorithms
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Forecasting
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Medical risk factors
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Machine learning
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Algorithms
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Optimization
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