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Table 1.

Definitions of clinical TNM according AJCC 2010 [21].

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Table 1 Expand

Table 2.

Pathological TNM according AJCC 2010 [21]. There is no pT1 classification.

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Table 2 Expand

Table 3.

Anatomic stage/prognostic groups (from AJCC 2010) [21].

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Table 3 Expand

Fig 1.

Neuro-Fuzzy Prostate Cancer Pathological Stage Predictor.

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Fig 1 Expand

Table 4.

Dataset Statistics.

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Table 4 Expand

Table 5.

Primary and Secondary Gleason pattern groups.

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Table 5 Expand

Fig 2.

Histogram of grouped PSA values.

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Fig 2 Expand

Table 6.

PSA groups.

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Table 6 Expand

Table 7.

Age groups.

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Table 8.

Clinical T stage groups.

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Table 8 Expand

Table 9.

Pathological T (pT) stage groups.

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Table 10.

Before data normalisation.

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Table 10 Expand

Table 11.

After data normalisation.

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Table 11 Expand

Fig 3.

Histogram of grouped age values.

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Fig 3 Expand

Table 12.

PSA levels categorised by age group.

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Table 12 Expand

Table 13.

Mean and Standard deviation values for Organ-Confined Disease (OCD) and Extra-Prostatic Disease (ED) groups diagnosed at the Pathological stage.

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Fig 4.

Neuro-Fuzzy System Membership Functions: Gleason 1 is Primary Gleason Pattern; Gleason 2 is Secondary Gleason pattern; PSA is Prostate Specific Antigen; Age represents the Age group; and clinical T stage is the result of the Digital Rectal Examination.

OCD is Organ-Confined Disease and ED is Extra-Prostatic Disease.

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Fig 4 Expand

Table 14.

Performance evaluation.

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Table 14 Expand

Fig 5.

Performance Comparison.

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Fig 5 Expand

Fig 6.

ROC Curves: Performance Comparison.

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Table 15.

Support Vector Machine(SVM) performance evaluation when applying various kernel functions.

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Table 15 Expand

Table 16.

Naive Bayes(NB) performance evaluation using the Gaussian distribution and Kernel Density Estimation functions.

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