心肌梗塞
医学
重症监护医学
风险评估
入射(几何)
多样性(控制论)
医疗急救
急诊医学
计算机科学
内科学
人工智能
物理
计算机安全
光学
作者
Chaoyu Wu,Wen Zheng,Wentao Sang,Shuxing Wei,Feng Xu
出处
期刊:PubMed
日期:2022-05-01
卷期号:34 (5): 550-555
标识
DOI:10.3760/cma.j.cn121430-20220328-00117
摘要
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.
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