Publikationen

Machine learning-based delirium prediction in surgical in-patients: a prospective validation study.

Stefanie Jauk, Diether Kramer, Stefan Sumerauer, Sai Pavan Kumar Veeranki, Michael Schrempf, Paul Puchwein | 2024

Clinical evaluation of a machine learning-based dysphagia risk prediction tool.

Gugatschka M, Egger NM, Haspl K, Hortobagyi D, Jauk S, Feiner M, Kramer D. | 2024

Machine Learning-Based Prediction of Malnutrition in Surgical In-Patients: A Validation Pilot Study.

Kramer D, Jauk S, Veeranki S, Schrempf M, Traub J, Kugel E, Prisching A, Domnanich S, Leopold M, Krisper P, Sendlhofer G | 2024

Evaluation of a Machine Learning-Based Dysphagia Prediction Tool in Clinical Routine: A Prospective Observational Cohort Study.

Jauk, S., Kramer, D., Veeranki, SPK., Siml-Fraissler A, Lenz-Waldbauer A, Tax E, Leodolter W, Gugatschka M | Jänner 2023

A Comparative Study: Classification Vs. Matrix Factorization for Therapeutics Recommendation.

Polat Erdeniz, S., Schrempf, M., Kramer, D., Felfernig, A. | September 2022

Explaining Machine Learning Predictions of Decision Support Systems in Healthcare.

Polat Erdeniz, Seda, Veeranki, SPK, Schrempf, Michael, Jauk, Stefanie, Ngoc Trang Tran, Thi, Felfernig, Alexander, Kramer, Diether and Leodolter, Werner. | September 2022