Gail Simulation Model
Submodules
models.gail.model_gail module
Predicts the risk of breast cancer based on various factors such as age, age at menarche, number of biopsies, age at first live birth, number of relatives, and whether the individual has given birth. The function applies specific risk values based on the input factors and calculates the overall relative risk for breast cancer.
- class biomodel.models.gail.model_gail.Gail
Bases:
CustomModelPredicts the risk of breast cancer based on various factors such as age, age at menarche, number of biopsies, age at first live birth, number of relatives, and whether the individual has given birth. The function applies specific risk values based on the input factors and calculates the overall relative risk for breast cancer.
- interpretation = 'percentage'
- intervals = [RiskInterval(value=5, name='Elevated')]
- predict(age: AgeInt(id='age', minimum=20, maximum=80, name='Age'), agemen: Int(id=4162552, minimum=0, maximum=30, name='Age at menarche'), nbiops: Enum(id=4078191, values={0: '0', 1: '1', 2: '>1'}, name='Number of previous breast biopsies'), ageflb: Int(id=35810315, minimum=0, maximum=100, name='Age at first live birth'), numrel: Enum(id='first-degree-relatives-breast-cancer', values={0: '0', 1: '1', 2: '>1'}, name='Number of first-degree relatives with breast cancer'), given_birth: Bool(id=35810313, name='Has given birth?')) float
Predicts the risk of breast cancer based on various factors such as age, age at menarche, number of biopsies, age at first live birth, number of relatives, and whether the individual has given birth. The function applies specific risk values based on the input factors and calculates the overall relative risk for breast cancer.
- predict_over_time = False
- title = 'Percentage (%) of developing breast cancer in the next 5 years'