Learn More
Interested in our work? Learn more from the following papers:
- Marcinkevics, R., Reis Wolfertstetter, P., Wellmann, S., Knorr, C., & Vogt, J. E. (2021). Using machine learning to predict the diagnosis, management and severity of pediatric appendicitis. Frontiers in Pediatrics, 360. doi: 10.3389/fped.2021.662183
- Marcinkevics, R., Wolfertstetter, P. R., Klimiene, U., Ozkan, E., Chin-Cheong, K., Paschke, A., ... & Vogt, J. E. (2023). Interpretable and Intervenable Ultrasonography-based Machine Learning Models for Pediatric Appendicitis. arXiv:2302.14460. doi: 10.48550/arXiv.2302.14460
All data used to develop models are freely available in our GitHub and Zenodo repositories.