XplOit: An Ontology-Based Data Integration Platform Supporting the Development of Predictive Models for Personalized Medicine

• DOI: 10.3233/978-1-61499-852-5-21
• Publication Date: 2025-02-21T08:47:32Z
• Authors: Weiler Gabriele; Schwarz Ulf; Rauch Jochen; Rohm Kerstin; Lehr Thorsten; Theobald Stefan; Kiefer Stephan; Götz Katharina; Och Katharina; Pfeifer Nico; Handl Lisa; Smola Sigrun; Ihle Matthias; Turki Amin T.; Beelen Dietrich W.; Rissland Jü...; Bittenbring J&ou...; Graf Norbert
• Keywords: Personalized Medicine

Predictive models can support physicians to tailor interventions and treatments their individual patients based on predicted response risk of disease help in this way put personalized medicine into practice. In allogeneic stem cell transplantation assessment is be enhanced order respond emerging viral infections reactions. However, develop predictive it necessary harmonize integrate high amounts heterogeneous medical data that stored different health information systems. Driven by the demand for instruments we present paper an ontology-based platform supports owners model developers share development respecting privacy.