Urinary nucleosides as potential tumor markers evaluated by learning vector quantization

Modified nucleosides were recently presented as potential tumor markers for breast cancer. The patterns of the levels of urinary nucleosides are different for tumor bearing individuals and for healthy individuals. Thus, a powerful pattern recognition method is needed. Although backpropagation (BP) n...

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Veröffentlicht in:	Artificial intelligence in medicine 2003-07, Vol.28 (3), p.265-279
Hauptverfasser:	Dieterle, Frank, Müller-Hagedorn, Silvia, Liebich, Hartmut M, Gauglitz, Günter
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Aged Aged, 80 and over Algorithms Artificial intelligence Artificial neural networks Biomarkers, Tumor - urine Breast cancer Breast Neoplasms - diagnosis Case-Control Studies Chromatography, High Pressure Liquid Expert systems Feasibility Studies Female Health Humans Learning vector quantization Medicine Middle Aged Neural networks Neural Networks (Computer) Nucleosides - isolation & purification Nucleosides - urine Pattern recognition Pattern Recognition, Automated Predictive Value of Tests Sensitivity and Specificity Support vector machines Urinary nucleosides
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