2-LEVEL CLASSIFICATION SCHEMES IN MEDICAL DIAGNOSTICS

被引：4

作者：

KUNCHEVA, L

机构：

[1] Central Laboratory of Bioinstrumentation and Automation, Bulgarian Academy of Sciences, 1113 Sofia, 'Acad. Georgi Bonchev' Street

来源：

INTERNATIONAL JOURNAL OF BIO-MEDICAL COMPUTING | 1993年 / 32卷 / 3-4期

关键词：

2-LEVEL PATTERN RECOGNITION; MEDICAL DIAGNOSTICS; CLASSIFICATION ACCURACY;

D O I：

10.1016/0020-7101(93)90014-W

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A two-level classifier for medical applications is considered. Such classifiers are expected to yield a more precise result than classical one-level classifiers. The underlying idea for two-level classification is supported by the routine practice of physicians to confirm the diagnosis by several data-driven inferences. An overview of the types of the two-level classifiers is presented. The competitive two-level classifier is emphasized. Three examples with real clinical data are presented from the fields of cardiology, aviation medicine, and neonatology.

引用

页码：197 / 210

页数：14

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