Covid Simulation Model

Submodules

models.covid.covid module

Predict the outcome based on the decision tree.

Parameters: - ldh: Lactic dehydrogenase value. - hs_crp: High-sensitivity C-reactive protein value. - lymphocyte: Lymphocyte percentage.

Returns: - ‘Survival’ or ‘Death’ based on the decision tree.

class biomodel.models.covid.covid.Covid

Bases: CustomModel

Predict the outcome based on the decision tree.

Parameters: - ldh: Lactic dehydrogenase value. - hs_crp: High-sensitivity C-reactive protein value. - lymphocyte: Lymphocyte percentage.

Returns: - ‘Survival’ or ‘Death’ based on the decision tree.

predict(ldh: Float(id=4150493, minimum=0, maximum=1000, name='Lactic dehydrogenase value'), hs_crp: Float(id=4208414, minimum=0, maximum=1000, name='High-sensitivity C-reactive protein value'), lymphocyte: Float(id=37399254, minimum=0, maximum=100, name='Lymphocyte percentage')) → str

Predict the outcome based on the decision tree.

Parameters: - ldh: Lactic dehydrogenase value. - hs_crp: High-sensitivity C-reactive protein value. - lymphocyte: Lymphocyte percentage.

Returns: - ‘Survival’ or ‘Death’ based on the decision tree.

Module contents