Progress in apllication of machine learning evaluation and prediction models in cardiovascular disease
10.3760/cma.j.cn121382-20231120-00114
- VernacularTitle:机器学习评估及预测模型在心血管疾病中的应用进展
- Author:
Jia YAO
1
;
Yuxia GAO
Author Information
1. 天津医科大学总医院心血管内科，天津 300070
- Keywords:
Machine learning;
Digital health;
Cardiovascular disease;
Prediction;
Assess
- From:
International Journal of Biomedical Engineering
2024;47(1):86-92
- CountryChina
- Language:Chinese
-
Abstract:
Artificial intelligence has been a huge success and contributes to the workplace. In the digital era, the amount of data in clinical practice is increasing, which requires healthcare workers to integrate and interpret the various information generated during clinical work. With the help of artificial intelligence techniques, especially machine learning techniques, researchers in cardiovascular medicine have developed a variety of predictive models to improve the efficiency of clinical work and treatment outcomes. The types of machine learning models were introduced, and the current prediction models of cardiovascular diseases using machine learning technology were summarized. The purpose of this paper is to facilitate accurate diagnosis of cardiovascular diseases and to provide a clearer direction for future development of cardiovascular disease prediction models using machine learning techniques.
