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Table 1 The candidate direct risk factors in the LSDS that are analyzed in the study presented here

From: Leveraging Bayesian networks and information theory to learn risk factors for breast cancer metastasis

Candidate Risk Factor

Description

Values

race

race of patient

white, black, Asian

age_at_diagnosis

age at diagnosis of the disease

0–40, 40–55, 55–69, > 69

menopausal_status

inferred menopausal status

pre, post

size

size of tumor in mm

0–32, 32–70, > 70

lymph_nodes_positive

number of positive lymph nodes

0, 1–8 > 8

lymph_nodes_removed

number of lymph nodes removed

0–11, 12–22, >  22

lymph_node_status

patient had any positive lymph nodes

neg,pos

grade

grade of disease

1, 2, 3

invasive

whether tumor is invasive

yes,no

histology

tumor histology

lobular, duct

ER

estrogen receptor expression

neg, pos

PR

progesterone receptor expression

neg, pos

HER2

HER2 expression

neg, pos

P53

whether P53 is mutated

neg, pos

surgical_margins

whether residual tumor

res. Tumor, no res. Tumor,

no primary site surgery