Fraunhofer Institute for Digital Medicine MEVIS
Fraunhofer Institute for Digital Medicine MEVIS

Melissa Finster

Research Interests

  • Deep Learning with longitudinal Data
  • Data Imputation and Clustering of longitudinal Data
  • Explainable AI and Auto-ML  
  • Findable, accessible, interoperable, and reusable Data
  • Data Standards and Common Data Models

Publications

(Tba)

2025

Finster M, Wenzel M, Taghizadeh E (2025) Common data models and data standards for tabular health data: a systematic review. BMC Med Inform Decis Mak 25(1):422
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Finster M, Moinat M, Taghizadeh E (2025) ETL: From the German Health Data Lab data formats to the OMOP Common Data Model. PLoS ONE 20(1):e0311511
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