Publications

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

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

Development of an Architecture to Implement Machine Learning Based Risk Prediction in Clinical Routine: A Service-Oriented Approach.

Schrempf M, Polat Erdeniz S, Kramer D, Jauk S, Veeranki Sai P.K., Ribitsch W, Leodolter W, Rainer P P | June 2022

Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events.

Schrempf M, Kramer D, Jauk S, Veeranki P. S, Leodolter W, Rainer P. P. | May 2021

Real-time risk prediction of delirium in hospitalised patients using machine learning: An implementation and prospective evaluation study.

Jauk S, Kramer D, Großauer B, Rienmüller S, Avian A, Berghold A, Leodolter W, Schulz | Jule 2020