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Patient Prognosis after Melanoma Surgery

< fig.1      fig.2: Reclassification of the Learning Set      > fig.3

CLASSIF1: fig.2 reclassification of the learning set

- Displayed are the triple matrix patterns of the first 10 patients of the survivor (S) and non survivor (N) melanoma patients after surgery.
- The disease classification mask for survivors contains typically a sequence of (0) characters because the majority of the parameter values is located between the two percentiles thresholds for the percentile ranges 10-90%, 15-85%, 20-80%, 25-75%, 30-70%. For the percentile pair 10-90%, 80% of the values are (0), 10% below (-) the lower percentile and 10% above (+) the upper percentile while the numbers are 40%, 30%, 30% in case of the 30-70% percentile pair.
- Unknown patients are classified according to the highest positional coincidence of the patient classification mask with any of the disease classification masks.
- The degree of coincidence between the patient mask and the best fitting disease mask is expressed by the mask coincidence factor. The coincidence factors are 1.00 for survivors #009, 012 despite the fact that not all triple matrix characters are (0) (arrows <= ). Only survivors #002, 006, 008 show complete coincidence with the all (0) survivor mask. Non survivors have on average all discriminatory parameters of the disease mask increased (+). Patients with normal (0) or diminished (-) discriminatory parameter values are therefore counted into the survivor category, explaining the coincidence factor of 1.00 for patients #009, 012.

© 2024 G.Valet
last update: Jun 04,2022
first display: Mar 21,2002