Published
XplOit data integration for predictive models in transplantation
Clinical data science from routine care
XplOit was a BMBF-funded platform for integrating clinical data to support predictive modeling, including in allogeneic stem cell transplantation.
What problem are we trying to solve?
How can heterogeneous clinical data be integrated, with privacy constraints, to support predictive models after allogeneic transplantation?
Why it matters
Predictive modeling in HCT is limited by fragmented hospital data. Ontology-based integration was a prerequisite for later machine-learning work.
Approach
BMBF i:DSem consortium, 2016–2021. Ontology-based platform paper 2018; final report 2021.
Who is working on it
Papers and abstracts
- XplOit: An Ontology-Based Data Integration Platform Supporting the Development of Predictive Models for Personalized Medicine Stud Health Technol Inform 2018