John Grimes - Terminology Analytics | DevDays 2019 Amsterdam
So, you’ve managed to get access to some FHIR data. Now you want to use it to solve some real-world problems, probably using some complex analytic queries and machine learning algorithms.
Let us take you through some worked examples that involve using FHIR-based data sets for notebook-based data science tasks. We show you some techniques for joining your FHIR data with clinical terminology knowledge, which may help you to feed your models with better data.
We also provide some tips and tricks that deal with issues that come up in real data sets, such as historically coded records, CodeSystem versioning and achieving various different types of categorisation when grouping and filtering.
