Development of Venous Thromboembolism Risk Prediction Models Based on Whole Blood Gene Expression Profiling Using 20 Machine Learning Algorithms: Comprehensive Analysis Study

This study used 20 ML algorithms to construct VTE prediction models based on whole blood gene expression information, with 9 of these models demonstrating good diagnostic performance in external validation cohorts. The above models, when used in conjunction with D-dimer, may provide more valuable references for VTE diagnosis.

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Publication Details

Journal
JMIR Medical Informatics
Published
2026-01-16
DOI
https://doi.org/10.2196/75565
Primary Topic
Imbalanced Data Classification Techniques
Type
article
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article

Development of Venous Thromboembolism Risk Prediction Models Based on Whole Blood Gene Expression Profiling Using 20 Machine Learning Algorithms: Comprehensive Analysis Study

Xiaoyun Chen, Yajun ZHAO, Dapeng Kuang, Yedong Huang et al.
JMIR Medical Informatics
Imbalanced Data Classification Techniques
article

Development of Venous Thromboembolism Risk Prediction Models Based on Whole Blood Gene Expression Profiling Using 20 Machine Learning Algorithms: Comprehensive Analysis Study

Xiaoyun Chen, Yajun ZHAO, Dapeng Kuang, Yedong Huang, Lin Zhang, Wei Lu, Guannan Bai
article en

Abstract

This study used 20 ML algorithms to construct VTE prediction models based on whole blood gene expression information, with 9 of these models demonstrating good diagnostic performance in external validation cohorts. The above models, when used in conjunction with D-dimer, may provide more valuable references for VTE diagnosis.

JMIR Medical InformaticsVol. 14
Fujian Medical University (CN), Sun Yat-sen University (CN), Shanghai Jiao Tong University (CN), Fudan University (CN), Quzhou City People's Hospital (CN), General Department of Preventive Medicine (VN), Children's Hospital of Zhejiang University (CN), Quzhou University (CN), Suzhou Research Institute (CN), Zhongshan Hospital (CN), The First Affiliated Hospital, Sun Yat-sen University (CN), Shanghai First People's Hospital (CN), Fujian Provincial Hospital (CN), Fujian Provincial Cancer Hospital (CN), Monash University (AU)
Openalex Percentile: Top 87%
Imbalanced Data Classification Techniques
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Development of Venous Thromboembolism Risk Prediction Models Based on Whole Blood Gene Expression Profiling Using 20 Machine Learning Algorithms: Comprehensive Analysis Study — Xiaoyun Chen, Yajun ZHAO, et al. · JMIR Medical Informatics (2026) | TGRS Research Map | TGRS