摘要
近年来,人工智能技术突飞猛进,在医疗领域,尤其是急重症领域内,人工智能技术也产生了大量前沿的科研成果。很多革命性的算法模型都经过了临床实验,并开始投入到临床应用中。重点介绍了ICU数据特点以及ICU转移、ICU死亡和感染性休克3个预警模型,并展示了这些模型在临床实验上的结果。
With the rapid development of artificial intel igence techniques,a lot of advanced models and algorithms have been developed in the area of critical diseases to support the doctors’decision making. Many model applications have been taken into the clini-cal trials,a few of them have been used in clinical environments. It summarizes the characteristic of the data in ICU,and intro-duces the algorithms used in ICU transferring,ICU mortality and septic shock. The results of clinic trails carried for these algo-rithms also are shown.
出处
《邮电设计技术》
2016年第8期28-32,共5页
Designing Techniques of Posts and Telecommunications
关键词
大数据
人工智能
机器学习
急重症
ICU
Big data, Artificial intelligence
Machine learning
Critical diseases, ICU