Mission

The mission of the Health Data Science group is to produce clinically actionable insights from observational health data by enabling data-driven healthcare. Improved interoperability of data is a necessary pre-requisite for this mission.

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Research

We perform methodological research in clinical characterisation, population-level effect estimation, and prediction modelling. We develop open-source analytical tools that can be applied on the OMOP Common Data Model.

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Teaching

We believe more education for young health data scientists, medical students, and healthcare professional, is needed to train them in the opportunities and limitations of big data in healthcare.

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Latest News

Tuesday, September 26, 2023

The Medical Informatics Europe took place this year in Gothenburg, Sweden. Department members Aniek, Cynthia and Ross all attended. Aniek gave a presentation on “Challenges of estimating global feature importance in real-world health care data” and Cynthia gave a presentation titled “Does Using a Stacking Ensemble Method to Combine Multiple Base Learners Within a Database Improve Model Transportability?”. Ross had a poster detailing the work that has been performed for the first release of the DELPHI prediction model library. 

The conference had several thousand delegates and covered a wide range of informatics topics, from technology to be implemented at the bedside, to analysis of real-world data. It was clear that there is lots of motivation for generating better machine learning and AI focused tools for implementation into routine healthcare.

One thing of note is that Ross chose to follow the Erasmus MC green initiative and went to Gothenburg by train. This journey was spread across 2 days and involved 12 hours of train travel with a stop in Copenhagen and Hamburg. This trip comes highly recommended by Ross.

Tuesday, August 29, 2023

From the 1st to the 3rd of July, 2023, the HDS team once again hosted the OHDSI Europe Symposium at the SS Rotterdam!

The fourth iteration of this event was fully booked, with 350 participants, 23 plenary presentations, and 94 posters. Members of our team contributed during the collaborator showcase, pleanary presentations, workshops, workgroups, posters, and software demonstrations. 

Thank you to all participants for the inspiring talks, discussions, and chats!

A full summary of the symposium can be found on the OHDSI Europe Website.

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