[2024 Symposium] Synthetic Data

[kzollove]

Items to be completed in support of Synthetic Data generation in advance of the OHDSI Symposium

• Consider using synthetic data with generated addresses in 3 locations (domestic & international)
  • Consider Boston, Sao Paolo, China, and a European city

Only using locations at the city level; reference global PM2.5 data 1998-2016; synthetic patients take city locations

In workshop: brief description of the synthetic dataset, minimal detail on location generation (keyword minimal)

TODO:

[kzollove]

Jared loaded all Belgian place data into Nominatim, has workflow in place, will shift to one of target cities (likely start with Boston)

Geocoded needs to take place in a pre-step - will likely need to be its own containerized process

TODO: Brief written description on how the Tufts Syntegra database will be divided into parts to represent separate EHRs

[kzollove]

Update from Jared: Geocoded a subset of Boston addresses using Nominatim; scripted, references docker images that downloads from Open Street Maps or makes direct calls to Nominatim API (for downloading the OSM files, not for geocoding the addresses)

Geocoding will be added to the containerization with option to use DeGauss in US or Nominatim for outside of the US

Hitting issues with the load_variable step; we will chat outside of meeting to resolve

[kzollove]

TODO a high level explainer on how to produce fake geocoded locations to link to real PM2.5 data

[kzollove]

load_exposure no longer working @kzollove

[kzollove]

load_exposure no longer working @kzollove

Resolved

[kzollove]

Need PM2.5 dataset in gaia-db @kzollove