A knowledge discovery approach to diagnosing myocardial perfusion

被引：43

作者：

Cios, KJ

Teresinska, A

Konieczna, S

Potocka, J

Sharma, S

机构：

[1] Univ Toledo, Toledo, OH 43606 USA

[2] Inst Cardiol, Warsaw, Poland

来源：

IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE | 2000年 / 19卷 / 04期

基金：

美国国家科学基金会; 美国国家航空航天局;

关键词：

D O I：

10.1109/51.853478

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 [生物医学工程];

摘要：

The large volumes of diagnostic data produced by the medical diagnostic machines are difficult to handle and analyze. High capacity storage devices and competent tools are needed for complete analysis. Data mining and knowledge discovery systems are programmed to automate the use of these data. A six step knowledge discovery process is applied to the Bull's eye single photon emission computed tomography (SPECT) database. Clinical diagnostic images maps were resolved, leading to the segregation of the patients with artery disease with the normal ones.

引用

页码：17 / 25

页数：9

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