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

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