Machine learning-based models for prediction of in-hospital mortality in patients with dengue shock syndrome

doi:10.5662/wjm.v15.i3.101837

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Sep 20, 2025 (publication date) through Mar 6, 2025

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World Journal of Methodology

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2222-0682

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Methodol. Sep 20, 2025; 15(3): 101837
Published online Sep 20, 2025. doi: 10.5662/wjm.v15.i3.101837

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Figure 1 The study flow-chart. LASSO: Least Absolute Shrinkage and Selection Operator; DSS: Dengue shock syndrome; AUC: Area under the curve; AIC: Akaike information criterion; SMOTE: Synthetic minority oversampling technique; KNN: K-nearest neighbors.

Citation: Vo LT, Vu T, Pham TN, Trinh TH, Nguyen TT. Machine learning-based models for prediction of in-hospital mortality in patients with dengue shock syndrome. World J Methodol 2025; 15(3): 101837
URL: https://www.wjgnet.com/2222-0682/full/v15/i3/101837.htm
DOI: https://dx.doi.org/10.5662/wjm.v15.i3.101837