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CLASSIF1 Classification

Pretherapeutic Identification of High Risk AML Patients

< fig.3      fig.4: Reclassification of the Learning Set      > fig.5

fig.4 reclassification of the learning set

- Display of the disease classification masks for ten sequential 5-year survivor and 5-year nonsurvivor AML patients (fig.2A).
- The masks fig.3 for the reference patients ( > 5-year, > 2 year survival) typically contain a majority of (0) characters because the parameter values are located between the lower and upper percentile thresholds (10/90, 15/85, 20/80, 25/75 or 30/70%) of the respective value distributions. As an example, in case of the 10/90% percentile pair, 80% of the values are located between both percentile thresholds that is they are (0), 10% are below (-) the lower and 10% above (+) the upper percentile thresholds.
- Unknown patients are classified according to highest positional coincidence of their patient classification mask with any one of the disease classification masks.
- The degree of coincidence between the patient mask and the best fitting disease mask is expressed by the disease coincidence factor. The coincidence factor is 1.00 for patients #100073 and #080055 (arrows) with four triple matrix characters (0) and three characters (-) despite the fact that not all triple matrix characters are (0). This is because triple matrix characters not occuring in the disease classification mask of 5-year nonsurvivors count as positional coincidences for 5-year survivors.
- This results in 19 correctly classified patient at 1 misclassification (#300040).
- The patient disease masks labelled a) and b) are repetitive. The systematic analysis of disease masks may permit to define leukemia subgroups characterized by certain preferential molecular CD expression patterns.

© 2023 G.Valet
last update: Jun 03,2022
first display: Mar 31,2003