Disease pattern recognition in infrared spectra of human sera with diabetes mellitus as an example

被引：58

作者：

Petrich, W

Dolenko, B

Früh, J

Ganz, M

Greger, H

Jacob, S

Keller, F

Nikulin, AE

Otto, M

Quarder, O

Somorjai, RL

Staib, A

Warner, G

Wielinger, H

机构：

[1] Roche Diagnost GmbH, D-68305 Mannheim, Germany

[2] Natl Res Council Canada, Inst Biodiagnost, Winnipeg, MB R3B 1Y6, Canada

[3] Univ Wurzburg, Med Klin, D-97080 Wurzburg, Germany

[4] Univ Klin Tubingen, D-72076 Tubingen, Germany

[5] Tech Univ Bergakad Freiberg, Inst Analyt Chem, D-09599 Freiberg, Germany

来源：

APPLIED OPTICS | 2000年 / 39卷 / 19期

关键词：

D O I：

10.1364/AO.39.003372

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

To benefit from the full information content of the mid-IR spectra of human sera, we directly related the overall shape of the spectra to the donors' disease states. For this approach of disease pattern recognition we applied cluster analysis and discriminant analysis to the example of the disease states diabetes type 1, diabetes type 2, and healthy. In a binary, supervised classification of any pair of these disease states we achieved specificities and sensitivities of similar to 80% within our data set. (C) 2000 Optical Society of America OCIS codes: 070.5010, 170.1470, 170.1580, 170.1610, 170.4580, 300.6390.

引用

页码：3372 / 3379

页数：8

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