A Hybrid AI-Based Method for ICD Classification of Medical Documents
Published in 2020 6th IEEE Congress on Information Science and Technology (CiSt), 2022
Recommended citation: Bruneß, D., Bay, M., Schulze, C., Guckert, M., & Minor, M. (2023). A Hybrid AI-Based Method for ICD Classification of Medical Documents. Healthcare Transformation with Informatics and Artificial Intelligence, 305, 1-4.. https://doi.org/10.3233/SHTI230408
A transfer learning method that uses ontologies to normalize the feature space of text classifiers to create a controlled vocabulary that ensures that the trained models do not contain personal data, and can be widely reused without violating the GDPR.
Bruneß, D., Bay, M., Schulze, C., Guckert, M., & Minor, M. (2023). A Hybrid AI-Based Method for ICD Classification of Medical Documents. Healthcare Transformation with Informatics and Artificial Intelligence, 305, 1-4.