Progress in application of machine learning in epidemiology
10.3760/cma.j.cn112338-20240322-00148
- VernacularTitle:机器学习在流行病学中的应用进展
- Author:
Kaitong MAI
1
;
Xingtong LIU
;
Xiaoyan LIN
;
Shiyin LIU
;
Chenkai ZHAO
;
Jiangbo DU
Author Information
1. 南京医科大学第一临床医学院，南京 211166
- Keywords:
Machine learning;
Epidemiology;
Artificial intelligence;
Disease diagnosis;
Risk prediction
- From:
Chinese Journal of Epidemiology
2024;45(9):1321-1326
- CountryChina
- Language:Chinese
-
Abstract:
Population based health data collection and analysis are important in epidemiological research. In recent years, with the rapid development of big data, Internet and cloud computing, artificial intelligence has gradually attracted attention of epidemiological researchers. More and more researchers are trying to use artificial intelligence algorithms for genome sequencing and medical image data mining, and for disease diagnosis, risk prediction and others. In recent years, machine learning, a branch of artificial intelligence, has been widely used in epidemiological research. This paper summarizes the key fields and progress in the application of machine learning in epidemiology, reviews the development history of machine learning, analyzes the classic cases and current challenges in its application in epidemiological research, and introduces the current application scenarios and future development trends of machine learning and artificial intelligence algorithms for the better exploration of the epidemiological research value of massive medical health data in China.
