Knowledge acquisition using a fuzzy machine-learning algorithm for a knowledge-based anesthesia monitor

被引：0

作者：

van den Eijkel, GC ^{[1
]}

Backer, E ^{[1
]}

机构：

[1] Delft Univ Technol, Dept Elect Engn, NL-2628 CD Delft, Netherlands

来源：

PROCEEDINGS OF THE 18TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 18, PTS 1-5 | 1997年 / 18卷

关键词：

knowledge acquisition; machine learning; fuzzy logic; anesthesia monitoring;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper discusses a new knowledge-acquisition approach for a knowledge-based anesthesia monitor. Domain knowledge was acquired by expert interviews and used by a fuzzy incremental-learning algorithm to generate rules from observations in the operating room. The rules were used to explain and detect signal patterns which indicated alarm and no-alarm situations.

引用

页码：1997 / 1998

页数：2

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