Publikationen

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

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 | Juli 2020

Development of a Machine Learning Model Predicting an ICU Admission for Patients with Elective Surgery and Its Prospective Validation in Clinical Practice.

Jauk S, Kramer D, Stark G, Hasiba K, Leodolter W, Schulz S, Kainz J. | September 2019

An Improvised Classification Model for Predicting Delirium.

Veeranki SPK, Hayn D, Jauk S, Quehenberger F, Kramer D, Leodolter W, Schreier G. | September 2019

Information Adapted Machine Learning Models for Prediction in Clinical Workflow.

Jauk S, Kramer D, Quehenberger F, Veeranki SP, Hayn D, Schreier G, Leodolter W. | Juni 2019