Publikationen

Technology acceptance and user experience of a machine learning algorithm predicting delirium in a clinical setting: A mixed-methods study.

Jauk S, Kramer D, Avian A, Berghold A, Leodolter W, Schulz S. | 2021

External Validation of a Machine Learning Based Delirium Prediction Software in Clinical Routine

Jauk S, Veeranki SPK, Kramer D, Högler S, Mühlecker D, Eberhartl E, Schueler A, Chvosta C, Strasser W, Strasser R, Leodolter W | 2022

Secondary Use of Clinical Problem List Entries for Neural Network-Based Disease Code Assignment

Kreuzthaler M, Pfeifer B, Kramer D, Schulz S | Mai 2023

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