Código QR (código de barras bidimensional)

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

Abstract Background In recent years, the incidence of ST-segment elevation myocardial infarction (STEMI) has been on the rise, leading to an increase in the number of patients undergoing direct percutaneous coronary intervention (pPCI). However, some patients experience slow blood flow after pPCI, s...

Fuld beskrivelse

Na minha lista:
Principais autores: Chao Huang, Yuekun Wei, Lianxiang Deng, Wen Li, Weilong Lin, Maochang Qin, Xiaocong Zeng, Daizheng Huang
Format: Artigo
Sprog:Inglês
Udgivet: BMC 2025-11-01
Serier:European Journal of Medical Research
Fag:
Slow flow predication
Generative adversarial networks
Catboost
Data imputation
Data balancing
Online adgang:https://doi.org/10.1186/s40001-025-03406-5
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!

Lignende værker