Publikationen

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

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 | Juni 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. | Mai 2021