Development of an optimized risk evaluation system for cardiovascular-kidney-metabolic syndrome-associated coronary heart disease based on tabular prior-data fitted network

TabPFN shows promise in medical small-sample analysis, and the optimized CKM-CHD risk model offers a certain degree of support for clinical decision-making. However, future larger-sample, multicenter prospective studies are still needed to further optimize the model.

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Publication Details

Journal
Digital Health
Published
2025-05-01
DOI
https://doi.org/10.1177/20552076251379379
Citations
2
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
5.88
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article

Development of an optimized risk evaluation system for cardiovascular-kidney-metabolic syndrome-associated coronary heart disease based on tabular prior-data fitted network

Wanying Chen, Zhirong Geng, Hui Zhang, Yan-Lin Liu et al.
2 citations
Digital Health
Artificial Intelligence in Healthcare
5.88
article

Development of an optimized risk evaluation system for cardiovascular-kidney-metabolic syndrome-associated coronary heart disease based on tabular prior-data fitted network

Wanying Chen, Zhirong Geng, Hui Zhang, Yan-Lin Liu, Fumin Liu, Saijuan Zhu, W. Bu, Qizhe Wu, Jin Wang, Qiang Wu
article en
2 citations

Abstract

TabPFN shows promise in medical small-sample analysis, and the optimized CKM-CHD risk model offers a certain degree of support for clinical decision-making. However, future larger-sample, multicenter prospective studies are still needed to further optimize the model.

Digital HealthVol. 11
Tianjin University of Traditional Chinese Medicine (CN), Nanjing University of Chinese Medicine (CN), Second Hospital of Tianjin Medical University (CN), Tianjin Medical University (CN)
Openalex Percentile: Top 4%
Artificial Intelligence in Healthcare
5.88
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