Towards understanding the disease landscape of clinical trials in Germany: Ontology and embedding-based pipelines versus Large Language Models for ICD-10 Harmonization
Type
Publication
medRxiv
Ndabashinze R, Franzen D, Kozuch E, Aagerup J, Fink A, Yerunkar Suresh S, Hunter K, Mayo-Wilson E, Ying X, Kilicoglu H, Schorr SG, Seidler AL (2026). Towards understanding the disease landscape of clinical trials in Germany: Ontology and embedding-based pipelines versus Large Language Models for ICD-10 Harmonization. medRxiv preprint.
Rodrigue Ndabashinze
MD, MSc Epidemiology
Medical doctor and epidemiologist specialising in evidence synthesis, causal inference, and NLP-driven clinical trial registry harmonisation.