Cargando…
An artificial intelligence-based risk prediction model of myocardial infarction
BACKGROUND: Myocardial infarction can lead to malignant arrhythmia, heart failure, and sudden death. Clinical studies have shown that early identification of and timely intervention for acute MI can significantly reduce mortality. The traditional MI risk assessment models are subjective, and the dat...
Autores principales: | Liu, Ran, Wang, Miye, Zheng, Tao, Zhang, Rui, Li, Nan, Chen, Zhongxiu, Yan, Hongmei, Shi, Qingke |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9175344/ https://www.ncbi.nlm.nih.gov/pubmed/35672659 http://dx.doi.org/10.1186/s12859-022-04761-4 |
Ejemplares similares
-
Artificial intelligence-enabled retinal vasculometry for prediction of circulatory mortality, myocardial infarction and stroke
por: Rudnicka, Alicja Regina, et al.
Publicado: (2022) -
Big Data Health Care Platform With Multisource Heterogeneous Data Integration and Massive High-Dimensional Data Governance for Large Hospitals: Design, Development, and Application
por: Wang, Miye, et al.
Publicado: (2022) -
Artificial intelligence fully automated myocardial strain quantification for risk stratification following acute myocardial infarction
por: Backhaus, Sören J., et al.
Publicado: (2022) -
Artificial intelligence algorithm for detecting myocardial infarction using six-lead electrocardiography
por: Cho, Younghoon, et al.
Publicado: (2020) -
An Artificial Intelligence-Based Alarm Strategy Facilitates Management of Acute Myocardial Infarction
por: Liu, Wen-Cheng, et al.
Publicado: (2021)