Skip to contents

ReadmissionPredictionOMOP Task

Source: R/Task_ReadmissionPredictionOMOP.R
ReadmissionPredictionOMOP.Rd

Task for predicting hospital readmission using OMOP CDM dataset. Predicts whether a patient will be readmitted within a specified time window based on clinical information from the current visit.

Details

This task predicts whether a patient will be readmitted to the hospital within a specified time window (default 15 days) after the current visit. The prediction is based on clinical codes (conditions, procedures, drugs) from the current visit.

Label definition:

  • Label = 1 if the time gap between current visit and next visit < time_window

  • Label = 0 otherwise

The task excludes:

  • Patients with only one visit (no next visit to predict)

  • Visits without any clinical codes (conditions, procedures, or drugs)

Super class

RHealth::BaseTask -> ReadmissionPredictionOMOP

Public fields

task_name

Name of the task.

input_schema

Input schema.

output_schema

Output schema.

time_window

Time window in days for readmission prediction.

Methods

Public methods

Method new()

Initialize the task.

Usage

ReadmissionPredictionOMOP$new(time_window = 15)

Arguments

time_window

Time window in days (default 15). Label is 1 if readmitted within this window.

Method pre_filter()

Pre-filter hook to retain only necessary columns.

Usage

ReadmissionPredictionOMOP$pre_filter(df)

Arguments

df

A lazy query containing all events.

Returns

A filtered LazyFrame.

Method call()

Process a single patient to generate samples.

Usage

ReadmissionPredictionOMOP$call(patient)

Arguments

patient

A Patient object.

Returns

A list of samples.

Method clone()

The objects of this class are cloneable with this method.

Usage

ReadmissionPredictionOMOP$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.