Trial Patient Records Simulation
Table of Contents
Synthetic patient records generation is a way around privacy issues when sharing clinical trial records or healthcare data. Specifically, we want to train a generative model based on the real records, as , where is the synthetic records, are the real records, and are the parameters of the model. When the patient data is a sequence, we can apply the generative model to the conditional generation. Given the previous visits , we can generate the next visit record as .
Depending ono the input patient data format: tabular or sequence, we have the following two subtasks:
trial_simulation.tabular
and trial_simulation.sequence
.
Tabular Patient: Index
Here is the list of colab examples on each model for this task.
Sequential Patient: Index
Here is the list of colab examples on each model for this task.
Tabular Patient: Example
Here, we highlight the usage of trial_simulation.tabular.CTGAN
model for this task.
Sequential Patient: Example
Here, we highlight the usage of trial_simulation.sequence.TWIN
model for this task.