Publications
Peer-reviewed research on machine learning for mortality prediction in surgery.
2026
2025
Differentially-Private Federated Learning with Non-IID Data For Surgical Risk Prediction
Privacy preserving federated learning for 90-day mortality prediction in colorectal surgery: a multicenter retrospective development and comparison study
90-day mortality prediction in elective visceral surgery using machine learning: a retrospective multicenter development, validation, and comparison study
2024
Enhancing Preoperative Outcome Prediction: A Comparative Retrospective Case–Control Study on Machine Learning versus the International Esodata Study Group Risk Model for Predicting 90-Day Mortality in Oncologic Esophagectomy
Die IVOM APP – mHealth Studie zur Usability
Differentially-Private Federated Learning with Non-IID Data for Surgical Risk Prediction