Risk factors for high CAD-RADS scoring in CAD patients revealed by machine learning methods: a retrospective study

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作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Dai, Yueli;Ouyang, Chenyu;Luo, Guanghua;Cao, Yi;Peng, Jianchun;...

通讯作者：

Zhou, H;Gao, AB

作者机构：

[Peng, Jianchun; Dai, Yueli; Cao, Yi] Univ South China, Affiliated Hosp 2, Hengyang Med Sch, Dept Radiol, Hengyang, Hunan, Peoples R China.

[Zhou, Hong; Ouyang, Chenyu; Luo, Guanghua] Univ South China, Affiliated Hosp 1, Hengyang Med Sch, Dept Radiol, Hengyang, Hunan, Peoples R China.

[Gao, AB; Gao, Anbo] Univ South China, Affiliated Hosp 2, Clin Res Inst, Hengyang Med Sch, Hengyang, Hunan, Peoples R China.

[Gao, AB; Gao, Anbo] Univ South China, Affiliated Hosp 2, Hengyang Med Sch, Dept Cardiovasc Med, Hengyang, Hunan, Peoples R China.

[Gao, AB; Gao, Anbo] Clin Med Res Ctr Arteriosclerot Dis Hunan Prov, Key Lab Heart Failure Prevent & Treatment Hengyang, Hengyang, Hunan, Peoples R China.

通讯机构：

[Zhou, H ; Gao, AB ] U

Univ South China, Affiliated Hosp 1, Hengyang Med Sch, Dept Radiol, Hengyang, Hunan, Peoples R China.

Univ South China, Affiliated Hosp 2, Clin Res Inst, Hengyang Med Sch, Hengyang, Hunan, Peoples R China.

Univ South China, Affiliated Hosp 2, Hengyang Med Sch, Dept Cardiovasc Med, Hengyang, Hunan, Peoples R China.

Clin Med Res Ctr Arteriosclerot Dis Hunan Prov, Key Lab Heart Failure Prevent & Treatment Hengyang, Hengyang, Hunan, Peoples R China.

语种：

英文

关键词：

CAD;CAD-RADS;ML;Plasma fibrinogen;Prediction;Risk factor

期刊：

PEERJ

ISSN：

2167-8359

年：

2023

卷：

页码：

e15797

DOI：

10.7717/peerj.15797

基金类别：

Guidance Project of Hengyang City [202222035663]; Scientific Research Project of Hunan Provincial Health Commission of China [202109011222, 202203013975]; Natural Science Foundation of Hunan Province [2022JJ40386]; Scientifc Research Project of Hunan Provincial Department of Education [21B0407]

机构署名：

本校为第一且通讯机构

院系归属：

医学院

摘要：

OBJECTIVE: This study aimed to investigate a variety of machine learning (ML) methods to predict the association between cardiovascular risk factors and coronary artery disease-reporting and data system (CAD-RADS) scores. METHODS: This is a retrospective cohort study. Demographical, cardiovascular risk factors and coronary CT angiography (CCTA) characteristics of the patients were obtained. Coronary artery disease (CAD) was evaluated using CAD-RADS score. The stenosis severity component of the CAD-RADS was stratified into two groups: CAD-RADS score 0-2 group and CAD-RADS score 3-5 group. CAD-R...

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Risk factors for high CAD-RADS scoring in CAD patients revealed by machine learning methods: a retrospective study

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