Disease Pattern Recognition in Infrared Spectra of Human Sera with Diabetes Mellitus as an Example
Applied Optics, Vol. 39, Issue 19, pp. 3372-3379 (2000)
http://dx.doi.org/10.1364/AO.39.003372
Acrobat PDF (351 KB)
Abstract
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 ~80% within our data set.
© 2000 Optical Society of America
OCIS Codes
(070.5010) Fourier optics and signal processing : Pattern recognition
(170.1470) Medical optics and biotechnology : Blood or tissue constituent monitoring
(170.1580) Medical optics and biotechnology : Chemometrics
(170.1610) Medical optics and biotechnology : Clinical applications
(170.4580) Medical optics and biotechnology : Optical diagnostics for medicine
(300.6390) Spectroscopy : Spectroscopy, molecular
Citation
Wolfgang Petrich, Brion Dolenko, Johanna Früh, Manfred Ganz, Helmut Greger, Stephan Jacob, Franz Keller, Alexander E. Nikulin, Matthias Otto, Ortrud Quarder, Ray L. Somorjai, Arnulf Staib, Gerhard Werner, and Hans Wielinger, "Disease Pattern Recognition in Infrared Spectra of Human Sera with Diabetes Mellitus as an Example," Appl. Opt. 39, 3372-3379 (2000)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-39-19-3372
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