From: Discovering causal interactions using Bayesian network scoring and information gain
Variable | Description | Values |
---|---|---|
age_at_diagnosis | age at diagnosis of the disease | 0-39, 39–54, 54–69, 69–84, 84-100 |
menopausal_status | inferred menopausal status | pre, post |
size | size of tumor in cm | 0-20, 20–50, 50-180 |
lymph_nodes_positive | number of positive lymph nodes | 0, 1, 2–3, 4–5, 6–9. ≥ 10 |
lymph_nodes_removed | number of lymph nodes removed | 0, 1–3, 4–9, 10–20, ≥ 21 |
percent_nodes_positive | percent of removed nodes positive | 0-0.2, 0.2-0.4, 0.4-0.6, 0.6-0.8, 0.8-1 |
grade | grade of disease | 1, 2, 3 |
stage | composite of size and # positive nodes | 0,1,2,3,4 |
histological | tumor histology | IDC, Other |
ER_Expr | estrogen receptor expression | +, − |
PR_Expr | progesterone receptor expression | +, − |
HER2_status | HER2 expression | +, − |
P53_mutation_status | whether P53 is mutated | +, − |
chemo | whether patient had chemotherapy | yes, no |
radiation | whether patient had radiation therapy | yes, no |
hormone | whether patient had hormone therapy | yes, no |