Research progress of in-hospital mortality risk model in patients with acute myocardial infarction
10.3760/cma.j.cn121430-20220328-00117
- VernacularTitle:急性心肌梗死患者院内死亡风险预测模型的研究进展
- Author:
Chaoyu WU
1
;
Wen ZHENG
;
Wentao SANG
;
Shuxing WEI
;
Feng XU
Author Information
1. 山东大学齐鲁医院急诊科，济南 250012
- Keywords:
Acute myocardial infarction;
In-hospital mortality;
Risk model;
Machine learning
- From:
Chinese Critical Care Medicine
2022;34(5):550-555
- CountryChina
- Language:Chinese
-
Abstract:
The incidence of in-hospital death in acute myocardial infarction (AMI) is high, which seriously threatens the life and health of patients. At present, many countries and regions have established a variety of objective assessment models for predicting the in-hospital mortality of patients with AMI, providing important decision-making support for patients with different risk levels when formulating treatment plans. With the rise of artificial intelligence, many new modeling methods also show certain advantages over the traditional models. This article systematically introduces the commonly used and newly constructed risk prediction models for in-hospital mortality of AMI, in order to provide help for medical staff to assist decision-making in clinical practice, and provide reference for the establishment of a safe and more effective risk prediction model in the future.
