摘要
近年来机器学习成为各研究领域的热点,利用机器学习可以实现由数据驱动向知识发现的转化,是今后实验室智能化的重要发展方向。机器学习在检验医学领域的应用目前已显示出了巨大潜力,但存在许多问题及挑战。推进机器学习技术的临床转化,实现在医学实验室的实用化、产业化,早日实现辅助临床决策的目标,是我们共同努力的方向。
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.
作者
沈立松
曾俊祥
Shen Lisong;Zeng Junxiang(Department of Clinical Laboratory,Xinhua Hospital,Shanghai Jiaotong University School of Medicine,Shanghai 200092,China)
出处
《中华检验医学杂志》
CAS
CSCD
北大核心
2022年第12期1197-1200,共4页
Chinese Journal of Laboratory Medicine
关键词
机器学习
检验医学
无监督学习
Machine learning
Laboratory Medicine
Unsupervised machine learning
