Disease pattern recognition in FT-IR spectra of human sera

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4254, Issue , 2001, Pages 72-80

  Petrich, W ^a   Dolenko, B ^a   Fink, D J ^a   Fru�h, J ^a   Greger, H ^a   Jacob, S ^a   Keller, F ^a   Nikulin, A ^a   Otto, M ^a   Pessin Minsley, M S ^a   Quarder, O ^a   Somorjai, R ^a   Staib, A ^a   Thienel, U ^a   Werner, G ^a   Wielinger, H ^a  

^a ROCHE DIAGNOSTICS GMBH   (Germany)

Author keywords

Correlation; Diabetes; Disease pattern recognition; FT IR spectroscopy; Rheumatoid arthritis

Indexed keywords

CORRELATION METHODS; FOURIER TRANSFORM INFRARED SPECTROSCOPY; PATIENT TREATMENT; PATTERN RECOGNITION; TISSUE;

DISEASE PATTERN RECOGNITION (DPR);

DISEASE CONTROL;

EID: 17944375018     PISSN: 0277786X     EISSN: None     Source Type: Journal    
DOI: 10.1117/12.427948     Document Type: Article

References (13)

1. Multivariate determination of glucose in whole blood using partial least-squares and artificial neural networks based on mid-infrared spectroscopy
2. Multicomponent assay for blood substrates in human plasma by mid-infrared spectroscopy and its evaluation for clinical analysis
3. Multianalyte serum analysis using mid-infrared spectroscopy
4. A novel diagnostic test for arthritis: Multivariate analysis of infrared spectra of synovial fluid
5. Infrared spectroscopy: New tool in medicine
6. Biomedical spectroscopy: Vibrational spectroscopy and other novel techniques
7. Disease pattern recognition in infrared spectra of human sera with diabetes mellitus as an example
8. Correlation between the state of health of blood donors and the corresponding mid-infrared spectra of the serum
9. Use of Kolmogorov-Smirnov, Cramer-Von Mises and related statistics without extensive tables
10. The American Rheumatism Association 1987 revised criteria for the classification of rheumatoid arthritis