Health Data Science Group Erasmus MC

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Health Data Science Group Erasmus MC

The Health Data Science (HDS) group aims to develop analytical methods and tools to enable data-driven healthcare. We apply advanced machine learning and statistical methods to develop clinical prediction models at scale in distributed data networks, develop tools for characterisation of patient populations, and pipelines for population-level effect estimation.

In this Zenodo the latest articles of the group can be found. For more publications visit the profiles of the group members here.

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Curation policy:

Contributions to the community will be curated by the group lead.

July 20, 2020
Harvesting API:
OAI-PMH Interface

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