Synthetic data in cancer and cerebrovascular disease research: A novel approach to big data.

ABSTRACT:

Objectives

Synthetic datasets are artificially manufactured based on real health systems data but do not contain real patient information. We sought to validate the use of synthetic data in stroke and cancer research by conducting a comparison study of cancer patients with ischemic stroke to non-cancer patients with ischemic stroke.

Design

retrospective cohort study.

Setting

We used synthetic data generated by MDClone and compared it to its original source data (i.e. real patient data from the Ottawa Hospital Data Warehouse).

Outcome measures

We compared key differences in demographics, treatment characteristics, length of stay, and costs between cancer patients with ischemic stroke and non-cancer patients with ischemic stroke. We used a binary, multivariable l

SUBMITTER: Lun R 

PROVIDER: S-EPMC10849264 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature