cardea.problem_definition.MissedAppointment

class cardea.problem_definition.MissedAppointment

Defines the problem of missed appointment

Predict whether the patient will show to the appointment or not.

Parameters

• target_label_column_name (str) – The target label of the prediction problem.

• target_entity (str) – Name of the entity containing the target label.

• cutoff_time_label (str) – The cutoff time label of the prediction problem.

• cutoff_entity (str) – Name of the entity containing the cutoff time label.

• prediction_type (str) – The type of the machine learning prediction.

__init__()

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__()	Initialize self.
check_for_missing_values_in_target_label(…)	Checks if there is a missing value in the target label.
check_target_label(entity_set, …)	Checks if target label exists in the entity set.
generate_cutoff_times(entity_set)	Generates cutoff times for the prediction problem.
generate_target_label(entity_set, …)	Generates target labels if the entityset is missing labels.
unify_cutoff_time_admission_time(es, …)	Process records in the entity that contains cutoff times based on shared days and time.
unify_cutoff_time_discharge_time(es, …)	Process records in the entity that contains cutoff times based on shared days and time.
unify_cutoff_times_days_admission_time(df, …)	Unify records cutoff times based on shared days.
unify_cutoff_times_days_discharge_time(df, …)	Unify records cutoff times based on shared days.
unify_cutoff_times_hours_admission_time(df, …)	Unify records cutoff times based on shared time.
unify_cutoff_times_hours_discharge_time(df, …)	Unify records cutoff times based on shared time.

Attributes

cutoff_entity
cutoff_time_label
prediction_type
target_entity
target_label_column_name

cardea.problem_definition.DiagnosisPrediction.generate_cutoff_times cardea.problem_definition.MissedAppointment.generate_cutoff_times