Developing Tooling for Observational Health Research in Julia
- Mentors
- TheCedarPrince, Mounika Thakkallapally
- Organization
- The Julia Language
- Technologies
- postgresql, sql, r, julia, MLJ, FunSQL
- Topics
- databases, machine learning, apis, data analysis, OMOP CDM, Cohorts
As a part of this project, I will be working with JuliaHealth to develop the OMOPCDMPathways package for health and medical data analysis. The package will include features such as selecting treatments of interest, finding treatment history of patients, combining overlapping events, filtering treatments for repeated occurrences, and examining drug refills. And as a part of stretch goals I also aim to integrate with the JuliaStats ecosystem and create novel visualizations for treatment pathways. My project timeline is designed for a structured and comprehensive development process. I'll begin by setting up my development environment and database connections, then move on to selecting treatments of interest and preparing the database. Following that, I'll work on filtering treatments for repeated cohorts, developing the treatment history of patients, handling drug refills, and era collapse, with each task having its own dedicated time for development and testing.