Thinking of the current status and application of machine learning in the field of laboratory medicine
10.3760/cma.j.cn114452-20221114-00676
- VernacularTitle:机器学习在检验医学应用的现状与思考
- Author:
Lisong SHEN
1
;
Junxiang ZENG
Author Information
1. 上海交通大学医学院附属新华医院 检验科，上海 200092
- Keywords:
Machine learning;
Laboratory Medicine;
Unsupervised machine learning
- From:
Chinese Journal of Laboratory Medicine
2022;45(12):1197-1200
- CountryChina
- Language:Chinese
-
Abstract:
In recent years, machine learning has become a hot spot in various research fields. Using machine learning can realize the transformation from data driven to knowledge discovery, which is an important development direction of laboratory intelligence in the future. The application of machine learning in laboratory medicine has shown great potential, but t it also has many challenges and difficulties. The direction of our joint efforts is to promote the clinical transformation of machine learning technology, realize the practicality and industrialization in medical laboratories, and achieve the goal of assisting clinical decision-making as soon as possible.
