Development and internal validation of an interpretable machine learning model incorporating LVEF and SII for Predicting complex coronary lesions in patients with type 2 diabetes mellitus and coronary heart disease

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Publication Details

Journal
BMC Cardiovascular Disorders
Published
2026-11-05
DOI
https://doi.org/10.1186/s12872-026-06907-1
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and internal validation of an interpretable machine learning model incorporating LVEF and SII for Predicting complex coronary lesions in patients with type 2 diabetes mellitus and coronary heart disease

Xiaofang Ma, Shumei Yang, Mei Wang, Jing Zhang et al.
BMC Cardiovascular Disorders
Artificial Intelligence in Healthcare
article

Development and internal validation of an interpretable machine learning model incorporating LVEF and SII for Predicting complex coronary lesions in patients with type 2 diabetes mellitus and coronary heart disease

Xiaofang Ma, Shumei Yang, Mei Wang, Jing Zhang, Lianping Gou
article en

Abstract

No abstract available for this paper.
BMC Cardiovascular Disorders
Openalex Percentile: Top 10%
Artificial Intelligence in Healthcare
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Development and internal validation of an interpretable machine learning model incorporating LVEF and SII for Predicting complex coronary lesions in patients with type 2 diabetes mellitus and coronary heart disease — Xiaofang Ma, Shumei Yang, et al. · BMC Cardiovascular Disorders (2026) | TGRS Research Map | TGRS