Biomedical data are amassed at an ever-increasing rate, and machine learning tools that
use prior knowledge in combination with biomedical big data are gaining much traction 1, 2 …

Obtaining text datasets with semantic annotations is an effortful process, yet crucial for
supervised training in natural language processing (NLP). In general, develo** and …

This article is part of the Focus Theme of Methods of Information in Medicine on the German
Medical Informatics Initiative. The Medical Informatics Initiative (MII) was launched within the …

Zusammenfassung Die Arbeitsgruppe Interoperabilität der Medizininformatik-Initiative (MII)
ist die Plattform für die Abstimmung übergreifender Vorgehensweisen, Datenstrukturen und …

Background The COVID-19 pandemic highlighted the importance of making research data
from all German hospitals available to scientists to respond to current and future pandemics …

Background: Multisite clinical studies are increasingly using real-world data to gain real-
world evidence. However, due to the heterogeneity of source data, it is difficult to analyze …

Background: Cross-institutional interoperability between health care providers remains a
recurring challenge worldwide. The German Medical Informatics Initiative, a collaboration of …

Background The low number of patients suffering from any given rare diseases poses a
difficult problem for medical research: With the exception of some specialized biobanks and …

With the steady increase in the connectivity of the healthcare system, new requirements and
challenges are emerging. In addition to the seamless exchange of data between service …

Die vom Bundesministerium für Bildung und Forschung (BMBF) 2016–2027 geförderte
Medizininformatik-Initiative (MII) schafft erfolgreich Grundlagen für die datenbasierte Medizin …