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Table 2 Description and membership function for clinicopathologic and genomic variables

From: Oral cancer prognosis based on clinicopathologic and genomic markers using a hybrid of feature selection and machine learning methods

(a) Clinicopathologic variables

Name

Description

Name & parameters of membership function

Age

Age at diagnosis

1 - 40-50, 2 - >50-60, 3 - >60-70, 4 - >70

Eth

Ethnicity

1 - Malay, 2 - Chinese, 3 - Indian

Gen

Gender

1 - Male, 2 - Female

Smoke

Smoking habit

1 - Yes, 2 - No

Drink

Alcohol drinking habit

1 - Yes, 2 - No

Chew

Quid chewing habit

1 - Yes, 2 - No

Site

Primary site of tumor

1 - Buccal mucosa, 2 - tongue

3 - floor, 4 - others

Subtype

Subtype and differentiation for SCC

1 - Well differentiated

2 - moderate differentiated

3 - poorly differentiated

Inv

Depth of Invasion front

1 - Non-cohesive, 2 - cohesive

Node

Neck nodes

1 - Negative, 2 - positive

PT

Pathological tumor staging

1 - T1, 2 - T2, 3 - T3, 4 - T4

PN

Pathological lymph nodes

1 - N0, 2- N1, 3- N2A, 4- N2B

Stage

Overall stage

1 - I, 2 - II, 3 - III, 4 - IV

Size

Size of tumor

1 - 0-2 cm, 2 - >2-4 cm, 3 - >4-6 cm, 4 - >6 cm

Treat

Type of treatment

1 - Surgery only

2 - Surgery + Radiotherapy

3 - Surgery + Chemotherapy

(b) Genomic variables

Name

Description

Name and parameters of membership function

p53

Tumor suppressor gene

1 - negative, 2 - positive

p63

Tumor suppressor gene

1 - negative, 2 - positive