InHospitalMortalityMIMIC4 Task

Task for predicting in-hospital mortality using MIMIC-IV dataset. This task leverages lab results from the first 48 hours of an admission to predict the likelihood of in-hospital mortality.

Super class

RHealth::BaseTask -> InHospitalMortalityMIMIC4

Public fields

task_name

The name of the task.

input_schema

The schema for input data.

output_schema

The schema for output data.

label

The name of the label column.

LABITEMS

A list of lab item IDs used in this task.

Methods

Public methods

• InHospitalMortalityMIMIC4$new()

• InHospitalMortalityMIMIC4$pre_filter()

• InHospitalMortalityMIMIC4$call()

• InHospitalMortalityMIMIC4$clone()

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Method new()

Initialize a new InHospitalMortalityMIMIC4 instance.

Usage

InHospitalMortalityMIMIC4$new()

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Method pre_filter()

Pre-filter hook to retain only necessary columns for this task.

Usage

InHospitalMortalityMIMIC4$pre_filter(df)

Arguments

df

A lazy query containing all events.

Returns

A filtered LazyFrame with only relevant columns.

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Method call()

Main processing method to generate samples.

Usage

InHospitalMortalityMIMIC4$call(patient)

Arguments

patient

An object with method get_events(event_type, ...).

Returns

A list of samples.

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Method clone()

The objects of this class are cloneable with this method.

Usage

InHospitalMortalityMIMIC4$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.