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Coronary health index based on immunoglobulin light chains to assess coronary heart disease risk with machine learning: a diagnostic trial.

Wenbo Ren | Zichen Zhang | Yifei Wang | Jiangyuan Wang | Li Li | Lin Shi | Taiyu Zhai | Jing Huang
Journal of translational medicine | 2025

Recent studies suggest a connection between immunoglobulin light chains (IgLCs) and coronary heart disease (CHD). However, current diagnostic methods using peripheral blood IgLCs levels or subtype ratios show limited accuracy for CHD, lacking comprehensive assessment and posing challenges in early detection and precise disease severity evaluation. We aim to develop and validate a Coronary Health Index (CHI) incorporating total IgLCs levels and their distribution. Additionally, we aim to evaluate its effectiveness by integrating patient data and using machine learning models through diagnostic trial.

Pubmed ID: 39762962

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Associated grants

  • Agency: National Natural Science Foundation of China,
    Id: 82302591
  • Agency: Health Commission of Jilin Province,
    Id: 2022JC059
  • Agency: Project of Jilin Provincial Department of Education,
    Id: JJKH20241327KJ

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scikit-learn (tool)

RRID:SCR_002577

scikit-learn: machine learning in Python

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