Diether Kramer

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 29

Top Topics

Predictive Analytics

Clinical Practice

Technology Acceptance

Disease Progression

Top Venues

BMC Medical Informatics Decis. Mak.

Publications

Diether Kramer, Stefanie Jauk, Sai Veeranki, Michael Schrempf, Julia Traub, Eva Kugel, Anna Prisching, Sandra Domnanich, Maria Leopold, Peter Krisper, Gerald Sendlhofer
Machine Learning-Based Prediction of Malnutrition in Surgical In-Patients: A Validation Pilot Study. dHealth (2024)
Manuel Lentzen, Thomas Linden, Sai Veeranki, Sumit Madan, Diether Kramer, Werner Leodolter, Holger Fröhlich
A Transformer-Based Model Trained on Large Scale Claims Data for Prediction of Severe COVID-19 Disease Progression. IEEE J. Biomed. Health Informatics 27 (9) (2023)
Seda Polat Erdeniz, Diether Kramer, Michael Schrempf, Peter P. Rainer, Alexander Felfernig, Trang N. T. Tran, Tamim Burgstaller, Sebastian Lubos
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events for ELGA-Authorized Clinics. dHealth (2023)
Seda Polat Erdeniz, Michael Schrempf, Diether Kramer, Peter P. Rainer, Alexander Felfernig, Trang N. T. Tran, Tamim Burgstaller, Sebastian Lubos
Computational Evaluation of Model-Agnostic Explainable AI Using Local Feature Importance in Healthcare. AIME (2023)
Seda Polat Erdeniz, Thi Ngoc Trang Tran, Alexander Felfernig, Sebastian Lubos, Michael Schrempf, Diether Kramer, Peter P. Rainer
Employing Nudge Theory and Persuasive Principles with Explainable AI in Clinical Decision Support. BIBM (2023)
Markus Kreuzthaler, Bastian Pfeifer, Diether Kramer, Stefan Schulz
Secondary Use of Clinical Problem List Entries for Neural Network-Based Disease Code Assignment. MIE (2023)
Julian Gutheil, Philip Stampfer, Diether Kramer, Manuel Wechselberger, Sai Pavan Kumar Veeranki, Michael Schrempf, Peter Mrak, Martina Aubel, Franz Feichtner
Frail People in LABLand: Development of an Easy-to-Use Machine Learning Model to Identify Frail People in Hospitals Based on Laboratory Data. dHealth (2023)
Michael Schrempf, Seda Polat Erdeniz, Diether Kramer, Stefanie Jauk, Sai P. K. Veeranki, Werner Ribitsch, Werner Leodolter, Peter P. Rainer
Development of an Architecture to Implement Machine Learning Based Risk Prediction in Clinical Routine: A Service-Oriented Approach. dHealth (2022)
Seda Polat Erdeniz, Michael Schrempf, Diether Kramer, Alexander Felfernig
A Comparative Study: Classification Vs. Matrix Factorization for Therapeutics Recommendation. ISMIS (2022)
Stefanie Jauk, Sai Pavan Kumar Veeranki, Diether Kramer, Stefan Högler, David Mühlecker, Erwin Eberhartl, Arthur Schueler, Christian Chvosta, Wolfgang Strasser, Reinhold Strasser, Werner Leodolter
External Validation of a Machine Learning Based Delirium Prediction Software in Clinical Routine. dHealth (2022)
Michael Schrempf, Diether Kramer, Stefanie Jauk, Sai P. K. Veeranki, Werner Leodolter, Peter P. Rainer
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events. dHealth (2021)
Stefanie Jauk, Diether Kramer, Alexander Avian, Andrea Berghold, Werner Leodolter, Stefan Schulz
Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study. J. Medical Syst. 45 (4) (2021)
Stefanie Jauk, Diether Kramer, Alexander Avian, Andrea Berghold, Werner Leodolter, Stefan Schulz
Correction to: Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study. J. Medical Syst. 45 (4) (2021)
Anna-Maria Lienhart, Diether Kramer, Stefanie Jauk, Markus Gugatschka, Werner Leodolter, Thomas Schlegl
Multivariable Risk Prediction of Dysphagia in Hospitalized Patients Using Machine Learning. dHealth (2020)
Stefanie Jauk, Diether Kramer, Birgit Großauer, Susanne Rienmüller, Alexander Avian, Andrea Berghold, Werner Leodolter, Stefan Schulz
Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation study. J. Am. Medical Informatics Assoc. 27 (9) (2020)
Alexander Lassnig, Theresa Rienmüller, Diether Kramer, Werner Leodolter, Christian Baumgartner, Joerg Schroettner
A novel hybrid modeling approach for the evaluation of integrated care and economic outcome in heart failure treatment. BMC Medical Informatics Decis. Mak. 19 (1) (2019)
Stefanie Jauk, Diether Kramer, Franz Quehenberger, Sai Pavan Kumar Veeranki, Dieter Hayn, Günter Schreier, Werner Leodolter
Information Adapted Machine Learning Models for Prediction in Clinical Workflow. dHealth (2019)
Sai Pavan Kumar Veeranki, Dieter Hayn, Stefanie Jauk, Franz Quehenberger, Diether Kramer, Werner Leodolter, Günter Schreier
An Improvised Classification Model for Predicting Delirium. MedInfo (2019)
Markus Kreuzthaler, Bastian Pfeifer, José Antonio Vera Ramos, Diether Kramer, Victor Grogger, Sylvia Bredenfeldt, Markus Pedevilla, Peter Krisper, Stefan Schulz
EHR problem list clustering for improved topic-space navigation. BMC Medical Informatics Decis. Mak. (3) (2019)
Stefanie Jauk, Diether Kramer, Günther Stark, Karl Hasiba, Werner Leodolter, Stefan Schulz, Johann Kainz
Development of a Machine Learning Model Predicting an ICU Admission for Patients with Elective Surgery and Its Prospective Validation in Clinical Practice. MedInfo (2019)
Sai Pavan Kumar Veeranki, Diether Kramer, Dieter Hayn, Stefanie Jauk, Alphons Eggerth, Franz Quehenberger, Werner Leodolter, Günter Schreier
Is Regular Re-Training of a Predictive Delirium Model Necessary After Deployment in Routine Care? dHealth (2019)
Sai Veeranki, Dieter Hayn, Alphons Eggerth, Stefanie Jauk, Diether Kramer, Werner Leodolter, Günter Schreier
On the Representation of Machine Learning Results for Delirium Prediction in a Hospital Information System in Routine Care. ICIMTH (2018)
Markus Kreuzthaler, Bastian Pfeifer, José Antonio Vera Ramos, Diether Kramer, Victor Grogger, Sylvia Bredenfeldt, Markus Pedevilla, Peter Krisper, Stefan Schulz
EHR Text Categorization for Enhanced Patient-Based Document Navigation. eHealth (2018)
Sai P. K. Veeranki, Dieter Hayn, Diether Kramer, Stefanie Jauk, Günter Schreier
Effect of Nursing Assessment on Predictive Delirium Models in Hospitalised Patients. eHealth (2018)
Stefanie Jauk, Diether Kramer, Stefan Schulz, Werner Leodolter
Evaluating the Impact of Incorrect Diabetes Coding on the Performance of Multivariable Prediction Models. ICIMTH (2018)
Stefanie Jauk, Diether Kramer, Werner Leodolter
Cleansing and Imputation of Body Mass Index Data and Its Impact on a Machine Learning Based Prediction Model. eHealth (2018)
Dieter Hayn, Sai Veeranki, Martin Kropf, Alphons Eggerth, Karl Kreiner, Diether Kramer, Günter Schreier
Predictive analytics for data driven decision support in health and care. it Inf. Technol. 60 (4) (2018)
Markus Kreuzthaler, Bastian Pfeifer, José Antonio Vera Ramos, Diether Kramer, Victor Grogger, Sylvia Bredenfeldt, Markus Pedevilla, Peter Krisper, Stefan Schulz
Problem List Clustering for Improved Patient-Based Disease Perception. ICHI Workshops (2018)
Diether Kramer, Sai Veeranki, Dieter Hayn, Franz Quehenberger, Werner Leodolter, Christian Jagsch, Günter Schreier
Development and Validation of a Multivariable Prediction Model for the Occurrence of Delirium in Hospitalized Gerontopsychiatry and Internal Medicine Patients. eHealth (2017)