Research on the prediction of slow blood flow in pPCI of STEMI patients based on CatBoost

The prediction of slow blood flow in STEMI patients undergoing direct percutaneous coronary intervention (pPCI) using CatBoost combined with GAN can achieve promising results. This approach provides a theoretical basis for doctors to intervene in advance.

Authors

Institutions

Publication Details

Journal
European journal of medical research
Published
2025-11-21
DOI
https://doi.org/10.1186/s40001-025-03406-5
Primary Topic
Acute Myocardial Infarction Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the prediction of slow blood flow in pPCI of STEMI patients based on CatBoost

Xiaocong Zeng, Daizheng Huang, Chao Huang, Yuekun Wei et al.
European journal of medical research
Acute Myocardial Infarction Research
article

Research on the prediction of slow blood flow in pPCI of STEMI patients based on CatBoost

Xiaocong Zeng, Daizheng Huang, Chao Huang, Yuekun Wei, Weilong Lin, Lianxiang Deng, Mengmeng Qin, Wen Li
article en

Abstract

The prediction of slow blood flow in STEMI patients undergoing direct percutaneous coronary intervention (pPCI) using CatBoost combined with GAN can achieve promising results. This approach provides a theoretical basis for doctors to intervene in advance.

European journal of medical researchVol. 30(1)
Guangxi Medical University (CN), First Affiliated Hospital of GuangXi Medical University (CN), The Second Nanning People's Hospital (CN)
National Natural Science Foundation of China, Natural Science Foundation of Guangxi Province
Openalex Percentile: Top 47%
Acute Myocardial Infarction Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.