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Identification of new prognostic factors can help in designing future clinical studies. In the case of advanced non-small cell lung cancer, there might be good candidates - tumor markers CYFRA 21-1, CEA or NSE [1-8]. It is possible to evaluate the relationship between their expression and prognosis by data mining technique recursive partitioning and amalgamation.

Prognostic Markers of Advanced Non- small Cell Lung Carcinoma – Assessing the Signifi cance of Oncomarkers Using Data-mining Techiques RPA